Comments (2)
This behavior is borrowed from TSN and we normally use the default setting when training TANet.
In my experience, the learning rate of linear layers x5 has little impact on performance. MMaction2 reproduces our work without using specicial learning rate schedule for linear layers and even achieves better performance. Hope it can solve your confusions.
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Thanks for the reply.
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Related Issues (14)
- 代码何时能开源? HOT 2
- Make it more compact
- awesome works HOT 1
- n_segment? HOT 1
- Training time on Kinetics400 and GPU? HOT 2
- test model and get error HOT 2
- The pretrained models seem don't work
- About n_segment HOT 2
- About MobileNetV2 arch HOT 4
- Could please provide a small demo dataset used to debug? HOT 2
- swapping labels for training data of Something-something v2 HOT 1
- The application of the algorithm in some 2D-CNN image classification networks
- TAM module in the ResBlock
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