Comments (1)
As pointed out by many TAD papers and based on my experience, the detection performance may fluctuate if trained on different GPUs or CUDA environments. On THUMOS, usually ±0.5 mAP is normal. Make sure you can use the released checkpoint to infer the same result.
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Related Issues (18)
- Roadmap and Feedback HOT 8
- Does Adatad support multi-label temporal action detection? HOT 2
- How to get the classifier files of activitynet HOT 3
- Cannot use gdown to download Anet raw video data HOT 1
- question about `scale_factor` in AdaTAD HOT 4
- Training loss drops sharply to Nan on my own dataset HOT 2
- epic_kitchens-100 opentad RuntimeError: CUDA error: device-side assert triggered HOT 1
- epic-kitchens100 eval is nan HOT 2
- AdaTAD Training Resume HOT 2
- Anet_videos_15fps_short256/missing_files.txt HOT 3
- Best_mAP in training
- feature_stride vs sample_stride HOT 6
- position of the adapter HOT 3
- AdaTAD License question HOT 1
- Proposal Generation Only HOT 5
- adatad on multithumos HOT 2
- VisionTransformerCP vs VisionTransformerLadder HOT 2
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