asuradayuci / tf-clip Goto Github PK
View Code? Open in Web Editor NEWTF-CLIP: Learning Text-Free CLIP for Video-Based Person Re-identification (AAAI2024)
License: MIT License
TF-CLIP: Learning Text-Free CLIP for Video-Based Person Re-identification (AAAI2024)
License: MIT License
在CLIP-Memory module中的前几步几乎与VIT一样啊,为什么不直接写使用VIT呢?
Hi!Thank you for the amazing work!
I have a question about the paper. You propose a noval Text-free framework based on CLIP, removing the original CLIP Text-Encoder. However, one of the major advantages of CLIP Text-Encoder is the open-vocabulary ability.
With your method using vision memory, the recogntion is limited to the features of Y identities. If the model encounters a probe for a new identity during testing, how does it handle it? I understand that this method actually only utilizes the matching concept of CLIP and does not benefit from CLIP's open-vocabulary abiltiy?
可否添加一个文件夹结构树,包含数据集、模型权重存放位置等,代码中包含作者的文件夹目录,但我并不明白文件夹其中之间的关系,非常感谢
Hello! Thank you for sharing this interesting repository. I would like to try out this project, is there any pretrained models available for download?
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