VideoMoCo
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Official pytorch implementation of paper "VideoMoCo: Contrastive Video Representation Learning with Temporally Adversarial Examples" (CVPR 2021).
Hi, Thanks a lot for your work. I am trying to train the model on a custom dataset and am curious if you could please share the logifles for the...
The code does not work for ucf
Backpropagation through a masking operation does not seem easy, because you are essentially applying a non-differentiable operation onto a subset of frames. In this implementation, even though a list of...
您好,论文中的公式(6),随时间衰减的因数t是乘在exp的外面的; 但是在代码中(moco/builder.py,第268行),这个因数weight是直接乘到了队列中的特征上; 按照代码中的实现方式,公式中分母的因数t是不是应该乘在k_i的前面?
It's a very intresting work, but I was wondering how many GPUs when you're training videoMoco? we found if use more than 24 GPUs(v100 32G), the training processing would be...
Hi authors, would you show more details about take 100 epochs to train D for initialization,does it use G but not update?
Hi authors, If yes, can you show me some demo code for such a downstream task?
Hi, thanks for releasing the code and r2+1D model. Can you please share the kinetics pretrained 3D-ResNet18 weights too? I am comparing 3D-ResNet18 models from other self-supervised methods too in...
The paper say the architecture of G follows ConvLSTM, but in builder.py the Generator_Mask is different from ConvLSTM, why do you make this change?Could you explain the design of Generator_Mask...