Datasets:
Dataset Viewer
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test/bench_0182
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/datasets-slow1/ModelNet40/partial_pc/bench/test/bench_0182_10k.npy
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bench
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test/bench_0185
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/datasets-slow1/ModelNet40/partial_pc/bench/test/bench_0185_10k.npy
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bench
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test/bench_0186
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/datasets-slow1/ModelNet40/partial_pc/bench/test/bench_0186_10k.npy
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bench
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test/bench_0175
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/datasets-slow1/ModelNet40/partial_pc/bench/test/bench_0175_10k.npy
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bench
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test/bench_0177
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/datasets-slow1/ModelNet40/partial_pc/bench/test/bench_0177_10k.npy
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bench
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test/bench_0192
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/datasets-slow1/ModelNet40/partial_pc/bench/test/bench_0192_10k.npy
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bench
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test/bench_0183
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/datasets-slow1/ModelNet40/partial_pc/bench/test/bench_0183_10k.npy
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bench
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test/bench_0179
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/datasets-slow1/ModelNet40/partial_pc/bench/test/bench_0179_10k.npy
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bench
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test/bench_0188
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/datasets-slow1/ModelNet40/partial_pc/bench/test/bench_0188_10k.npy
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bench
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test/bench_0184
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/datasets-slow1/ModelNet40/partial_pc/bench/test/bench_0184_10k.npy
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bench
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test/bench_0187
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/datasets-slow1/ModelNet40/partial_pc/bench/test/bench_0187_10k.npy
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bench
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test/bench_0190
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/datasets-slow1/ModelNet40/partial_pc/bench/test/bench_0190_10k.npy
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bench
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test/bench_0180
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/datasets-slow1/ModelNet40/partial_pc/bench/test/bench_0180_10k.npy
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bench
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test/bench_0193
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/datasets-slow1/ModelNet40/partial_pc/bench/test/bench_0193_10k.npy
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bench
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test/bench_0176
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/datasets-slow1/ModelNet40/partial_pc/bench/test/bench_0176_10k.npy
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bench
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test/bench_0174
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/datasets-slow1/ModelNet40/partial_pc/bench/test/bench_0174_10k.npy
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bench
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test/bench_0181
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/datasets-slow1/ModelNet40/partial_pc/bench/test/bench_0181_10k.npy
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bench
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test/bench_0189
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/datasets-slow1/ModelNet40/partial_pc/bench/test/bench_0189_10k.npy
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bench
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test/bench_0191
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/datasets-slow1/ModelNet40/partial_pc/bench/test/bench_0191_10k.npy
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bench
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test/bench_0178
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/datasets-slow1/ModelNet40/partial_pc/bench/test/bench_0178_10k.npy
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bench
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test/curtain_0145
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/datasets-slow1/ModelNet40/partial_pc/curtain/test/curtain_0145_10k.npy
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curtain
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test/curtain_0139
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/datasets-slow1/ModelNet40/partial_pc/curtain/test/curtain_0139_10k.npy
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curtain
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test/curtain_0140
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/datasets-slow1/ModelNet40/partial_pc/curtain/test/curtain_0140_10k.npy
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curtain
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test/curtain_0148
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/datasets-slow1/ModelNet40/partial_pc/curtain/test/curtain_0148_10k.npy
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curtain
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test/curtain_0143
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/datasets-slow1/ModelNet40/partial_pc/curtain/test/curtain_0143_10k.npy
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curtain
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test/curtain_0151
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/datasets-slow1/ModelNet40/partial_pc/curtain/test/curtain_0151_10k.npy
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curtain
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test/curtain_0147
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/datasets-slow1/ModelNet40/partial_pc/curtain/test/curtain_0147_10k.npy
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curtain
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test/curtain_0149
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/datasets-slow1/ModelNet40/partial_pc/curtain/test/curtain_0149_10k.npy
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curtain
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test/curtain_0157
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/datasets-slow1/ModelNet40/partial_pc/curtain/test/curtain_0157_10k.npy
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curtain
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test/curtain_0158
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/datasets-slow1/ModelNet40/partial_pc/curtain/test/curtain_0158_10k.npy
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curtain
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test/curtain_0150
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/datasets-slow1/ModelNet40/partial_pc/curtain/test/curtain_0150_10k.npy
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curtain
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test/curtain_0154
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/datasets-slow1/ModelNet40/partial_pc/curtain/test/curtain_0154_10k.npy
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curtain
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test/curtain_0153
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/datasets-slow1/ModelNet40/partial_pc/curtain/test/curtain_0153_10k.npy
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curtain
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test/curtain_0155
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/datasets-slow1/ModelNet40/partial_pc/curtain/test/curtain_0155_10k.npy
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curtain
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test/curtain_0144
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/datasets-slow1/ModelNet40/partial_pc/curtain/test/curtain_0144_10k.npy
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curtain
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test/curtain_0152
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/datasets-slow1/ModelNet40/partial_pc/curtain/test/curtain_0152_10k.npy
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curtain
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test/curtain_0156
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/datasets-slow1/ModelNet40/partial_pc/curtain/test/curtain_0156_10k.npy
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curtain
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test/curtain_0146
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/datasets-slow1/ModelNet40/partial_pc/curtain/test/curtain_0146_10k.npy
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curtain
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test/curtain_0142
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/datasets-slow1/ModelNet40/partial_pc/curtain/test/curtain_0142_10k.npy
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curtain
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test/curtain_0141
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/datasets-slow1/ModelNet40/partial_pc/curtain/test/curtain_0141_10k.npy
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curtain
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test/desk_0229
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0229_10k.npy
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desk
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test/desk_0205
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0205_10k.npy
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desk
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test/desk_0215
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0215_10k.npy
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desk
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test/desk_0239
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0239_10k.npy
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desk
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test/desk_0247
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0247_10k.npy
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desk
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test/desk_0250
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0250_10k.npy
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desk
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test/desk_0238
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0238_10k.npy
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desk
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test/desk_0203
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0203_10k.npy
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desk
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test/desk_0253
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0253_10k.npy
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desk
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test/desk_0277
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0277_10k.npy
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desk
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test/desk_0234
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0234_10k.npy
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desk
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test/desk_0264
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0264_10k.npy
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desk
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test/desk_0281
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0281_10k.npy
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desk
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test/desk_0219
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0219_10k.npy
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desk
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test/desk_0240
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0240_10k.npy
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desk
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test/desk_0211
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0211_10k.npy
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desk
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test/desk_0259
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0259_10k.npy
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desk
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test/desk_0225
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0225_10k.npy
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desk
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test/desk_0254
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0254_10k.npy
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desk
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test/desk_0231
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0231_10k.npy
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desk
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test/desk_0268
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0268_10k.npy
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desk
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test/desk_0213
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0213_10k.npy
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desk
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test/desk_0217
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0217_10k.npy
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desk
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test/desk_0208
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0208_10k.npy
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desk
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test/desk_0228
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0228_10k.npy
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desk
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test/desk_0283
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0283_10k.npy
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desk
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test/desk_0260
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0260_10k.npy
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desk
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test/desk_0276
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0276_10k.npy
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desk
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test/desk_0258
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0258_10k.npy
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desk
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test/desk_0204
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0204_10k.npy
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desk
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test/desk_0267
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0267_10k.npy
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desk
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test/desk_0207
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0207_10k.npy
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desk
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test/desk_0222
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0222_10k.npy
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desk
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test/desk_0201
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0201_10k.npy
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desk
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test/desk_0272
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0272_10k.npy
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desk
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test/desk_0233
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0233_10k.npy
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desk
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test/desk_0218
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0218_10k.npy
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desk
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test/desk_0249
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0249_10k.npy
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desk
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test/desk_0236
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0236_10k.npy
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desk
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test/desk_0251
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0251_10k.npy
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desk
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test/desk_0232
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0232_10k.npy
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desk
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test/desk_0284
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0284_10k.npy
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desk
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test/desk_0261
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0261_10k.npy
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desk
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test/desk_0212
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0212_10k.npy
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desk
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test/desk_0235
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0235_10k.npy
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desk
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test/desk_0242
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0242_10k.npy
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desk
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test/desk_0245
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0245_10k.npy
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desk
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test/desk_0266
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0266_10k.npy
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desk
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test/desk_0271
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0271_10k.npy
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desk
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test/desk_0280
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0280_10k.npy
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desk
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test/desk_0278
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0278_10k.npy
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desk
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test/desk_0216
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0216_10k.npy
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desk
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test/desk_0223
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0223_10k.npy
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desk
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test/desk_0227
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0227_10k.npy
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desk
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test/desk_0230
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0230_10k.npy
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desk
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test/desk_0246
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0246_10k.npy
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desk
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test/desk_0273
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0273_10k.npy
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desk
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test/desk_0220
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0220_10k.npy
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desk
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test/desk_0226
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0226_10k.npy
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desk
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test/desk_0269
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/datasets-slow1/ModelNet40/partial_pc/desk/test/desk_0269_10k.npy
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desk
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End of preview. Expand
in Data Studio
YAML Metadata
Warning:
The task_categories "point-cloud-classification" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, other
YAML Metadata
Warning:
The task_categories "point-cloud-recognition" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, other
The datasets in this repository are used in the paper Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis.
Datasets
- The folder structure of used datasets should be organized as follows.
/path/to/Point-Cache
|----data # placed in the same level as `runners`, `scripts`, etc.
|----modelnet_c
|----sonn_c
|----obj_bg
|----obj_only
|----hardest
|----modelnet40
|----scanobjnn
|----omniobject3d
|----1024
|----4096
|----16384
|----objaverse_lvis
|----runners
|----scripts
...
You can find the download links of the above datasets from our huggingface dataset repositories as follows.
If you find our paper and datasets are helpful for your project or research, please cite our work as follows.
@InProceedings{Sun_2025_CVPR,
author = {Sun, Hongyu and Ke, Qiuhong and Cheng, Ming and Wang, Yongcai and Li, Deying and Gou, Chenhui and Cai, Jianfei},
title = {Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis},
booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR)},
month = {June},
year = {2025},
pages = {1263-1275}
}
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