Image Segmentation
Transformers
PyTorch
upernet
Inference Endpoints
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Searching for MobileNetV3

Introduction

[ALGORITHM]

@inproceedings{Howard_2019_ICCV,
  title={Searching for MobileNetV3},
  author={Howard, Andrew and Sandler, Mark and Chu, Grace and Chen, Liang-Chieh and Chen, Bo and Tan, Mingxing and Wang, Weijun and Zhu, Yukun and Pang, Ruoming and Vasudevan, Vijay and Le, Quoc V. and Adam, Hartwig},
  booktitle={The IEEE International Conference on Computer Vision (ICCV)},
  pages={1314-1324},
  month={October},
  year={2019},
  doi={10.1109/ICCV.2019.00140}}
}

Results and models

Cityscapes

Method Backbone Crop Size Lr schd Mem (GB) Inf time (fps) mIoU mIoU(ms+flip) download
LRASPP M-V3-D8 512x1024 320000 8.9 15.22 69.54 70.89 model | log
LRASPP M-V3-D8 (scratch) 512x1024 320000 8.9 14.77 67.87 69.78 model | log
LRASPP M-V3s-D8 512x1024 320000 5.3 23.64 64.11 66.42 model | log
LRASPP M-V3s-D8 (scratch) 512x1024 320000 5.3 24.50 62.74 65.01 model | log