Jack Monas
commited on
Commit
·
d0e93f9
1
Parent(s):
da0930c
rules
Browse files
app.py
CHANGED
@@ -151,12 +151,10 @@ def main():
|
|
151 |
- The use of publicly available datasets and pretrained weights is allowed. The use of private datasets or pretrained weights is prohibited.
|
152 |
- You may use future actions to condition future frame predictions.
|
153 |
- There is no limit on the inference time for any of the challenges.
|
154 |
-
|
155 |
-
**Submission Requirements:**
|
156 |
-
- All submissions must be reproducible. Include code, configuration files, and any necessary instructions to replicate your results.
|
157 |
- Naive nearest-neighbor retrieval combined with seeking ahead to the next frames from the training set may yield reasonable performance but is not permitted in solutions.
|
158 |
|
159 |
-
**
|
|
|
160 |
- The leaderboard will display results on a public test set; however, the final winner will be determined based on performance on a private test set.
|
161 |
|
162 |
**Eligibility:**
|
|
|
151 |
- The use of publicly available datasets and pretrained weights is allowed. The use of private datasets or pretrained weights is prohibited.
|
152 |
- You may use future actions to condition future frame predictions.
|
153 |
- There is no limit on the inference time for any of the challenges.
|
|
|
|
|
|
|
154 |
- Naive nearest-neighbor retrieval combined with seeking ahead to the next frames from the training set may yield reasonable performance but is not permitted in solutions.
|
155 |
|
156 |
+
**Submissions:**
|
157 |
+
- All submissions must be reproducible. Include code, configuration files, and any necessary instructions to replicate your results.
|
158 |
- The leaderboard will display results on a public test set; however, the final winner will be determined based on performance on a private test set.
|
159 |
|
160 |
**Eligibility:**
|