Comments (1)
labels.npy contain the segment level labels of the videos. labels_all.npy contains the video-level labels. We obtain them from here:
https://www.crcv.ucf.edu/THUMOS14/download.html
labels_all.npy: mentioned as Metadata and class-level annotations
labels.npy: mentioned as Temporal annotations of actions
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Related Issues (20)
- The model results vary greatly HOT 1
- I believe labels_all.npy is wrong HOT 1
- About Qualitative Results
- Both Classification and Localization Performance is higher in my experiment than your eccv18 paper in Thumos14 HOT 4
- Specific parameter setting when training on activityNet v1.2 HOT 5
- How can i extract the feature by myself? HOT 1
- RuntimeError: The size of tensor a (101) must match the size of tensor b (20) at non-singleton dimension 1
- Visualization
- FPS of ActivityNet?
- Could you provide the pre-trained encoder?
- Regarding feature extraction HOT 2
- Can you share the UntrimmedNet feature for ActivityNet1.2
- regarding result
- Specific composition of features HOT 1
- calculate features HOT 13
- features download HOT 4
- training on ActivityNet v1.2 HOT 3
- overfitting HOT 1
- extracted_fps of Thumos14reduced-I3D-JOINTFeatures HOT 3
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from wtalc-pytorch.