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I use this to train 16 frames TSM on something-something v2, but validation accuracy is only 61%, and test accuracy with twice sample is only 62.26%
python3 main.py somethingv2 RGB --arch resnet50 --num_segments 16 --gd 20 --lr 0.04 --lr_steps 20 30 --epochs 40 --batch-size 256 -j 16 --dropout 0.5 --consensus_type=avg --eval-freq=1 --shift --shift_div=8 --shift_place=blockres
How to get the same performance as the paper?
The text was updated successfully, but these errors were encountered:
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I use this to train 16 frames TSM on something-something v2, but validation accuracy is only 61%, and test accuracy with twice sample is only 62.26%
python3 main.py somethingv2 RGB --arch resnet50
--num_segments 16 --gd 20 --lr 0.04 --lr_steps 20 30 --epochs 40
--batch-size 256 -j 16 --dropout 0.5 --consensus_type=avg --eval-freq=1
--shift --shift_div=8 --shift_place=blockres
How to get the same performance as the paper?
The text was updated successfully, but these errors were encountered: