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MAST: A Memory-Augmented Self-supervised Tracker (CVPR 2020)

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Hi Zhiang, I'm trying to reproduce your results howerwer I'm confused what to change in the training script for the 2 phases or training described in the paper. Step 1:...

Hi, May I ask which version you used for training? (2018 or 2019) And did you use the ```train_all_frames.zip``` or ```train.zip``` ? Thx.

Sorry to bother. Another question. So far, my experience in coding is not so much. I want to reduce the memories by changing codes to process frame by frame but...

Thank you for sharing such a great job ! The code now seems to consider only one pair of images (one reference frame and one target frame). But the memory...

Hi @zlai0, thanks for the nice work and for sharing the code. I have a couple of questions and would appreciate your help. 1. What is the reason for multiplying...

Hi, May I know how you test on YouTube-VOS since some new objects are added in middle frames in that dataset? In that case, I am confused about how to...

Thanks for your great job ! I hava trained my model successfully. But when i try to test my model on benmark.py, i notice that a 22G GPU is needed....

Hello: thank you very much for your sharing. Could you please release the code of multiple frames training as told in the paper? thanks

Hi, Were you able to figure out the reason for the model not converging? (in pytorch > 1.1). I am facing the same issue in pytorch 1.6 as well.

Hello: Thanks for you sharing your perfect work. You have said that you pretrain the model with pair of input frame, and then use the network in the training for...