lambert-x / video-semisup

Learning from Temporal Gradient for Semi-supervised Action Recognition (CVPR 2022)
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Using fixmatch's baseline to process TG images does not achieve the accuracy in the paper #5

Closed wwyy1234 closed 1 year ago

wwyy1234 commented 1 year ago

I use fixmatch's baseline to process TG images, and the accuracy rate is only about 55%. Among them, the ucf101 dataset is processed, and 20% has labels. The training cycle is 180 epochs, where the code is based on your our_ method file. Could you tell me what the problem is?

lambert-x commented 1 year ago

I think you are talking about the Fixmatch baseline with TG as input. You need to modify the test pipeline to make the model test with TG but not RGB.