Pretrained model for the VIP dataset

[sicxu]

Thanks for the code !!!
Could you also release the pretrained model for the VIP dataset? That would be very helpful!

[xvjiarui]

Hi @sicxu
The model doesn't need to be fine-tuned for specific dataset for fine-grained correspondence. You may directly use it to inference.

[sicxu]

Cool, I will check the paper details later and thanks for the reply.

[sicxu]

Hi, @xvjiarui , I have read the paper and I am curious about the evaluation for the VIP dataset, could you share the evaluation code for this dataset?

Something is not clear here, I hope you can help to answer my following concerns.
In your paper, not the only the first gt mask but also the prediction results in the latest 20 frames are propagated to the current frame. It seems that previous methods only use the first gt mask with several (1 in Joint-task Self-supervised Learning for Temporal Correspondence ) prediction results to do the propagation, is there any ablation study about this number?

[xvjiarui]

Hi @sicxu
You may use VIP dataset here for testing.
I may include the scrip in the future.

[qianduoduolr]

hi, do you have the plan to include the evaluation script for VIP and JHMDB ? Looking forward to your reply.