Question about DenseCLIP for Any Visual Backbone

[needsee]

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[needsee]

Congradulations on your great work! @raoyongming
I had got some questions about any backbone experiments. I want to know more details about the any backbone experiments.
Could you provide the codes for any backbone experiment? That will help understand a lot. Thanks!

[needsee]

If I use Swintransformer-T as the image encoder，the output image feature is [B, 768, 16, 12]. Is the attention pooling layer used to map image features to the embedded space([B,512,16,12]), then calculate similarity with text features? Can I replace it with a linear layer?

[raoyongming]

Yes, we use a randomly initialized attention pooling layer to map the image features into the embedding space. It might be okay to use a simpler linear layer but we haven't tried it in our experiments

[needsee]

Yes, we use a randomly initialized attention pooling layer to map the image features into the embedding space. It might be okay to use a simpler linear layer but we haven't tried it in our experiments
Thanks for your reply. Could you please provide the codes of any backbone experiment? This is my email [email protected]. Thanks.

[needsee]

@raoyongming 您好，请问您在做 any visual backbone 实验时，有做ImageNet pre-trained vit 的实验吗？我尝试了一下使用ImageNet pre-trained vit进行实验，结果没有提升，请问您觉得是什么原因呢？

[raoyongming]

你好，我们只在论文里面report的ResNet和Swin上做过实验。