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33 Open 17 Closed
33 Open 17 Closed
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Issues list

请问可以提供ViT-CLIP-ReID-SIE-OLP的yaml吗，我用test里的yaml报RuntimeError: output with shape [1, 768] doesn't match the broadcast shape [6, 768]
#50 opened Sep 13, 2024 by Shybert-AI
what's mean to n_ctx = 4?
#49 opened Sep 5, 2024 by ericyq
1
how to load clip pretrained model
#48 opened Sep 2, 2024 by ericyq
1
RuntimeError: cuDNN error: CUDNN_STATUS_EXECUTION_FAILED
#47 opened Sep 2, 2024 by ericyq
1
How to train stage1 and stage2 independently?
#45 opened Jul 2, 2024 by edwardnguyen1705
How to fix KeyError: 'cv_embed'?
#43 opened Jun 17, 2024 by tinybitdesu
2
About Visualization
#42 opened May 28, 2024 by seunghee-han
感谢作者
#41 opened May 18, 2024 by SHIREN234
MSMT17: train += val
#39 opened May 13, 2024 by edwardnguyen1705
Thank you for your work,I have a small question
#38 opened May 7, 2024 by SHIREN234
训练的模型被保存在哪里了？
#37 opened Apr 19, 2024 by showmeyourcodehaha
3
Confusion about adapting position embedding with resolution change in ViT backbone
#36 opened Apr 8, 2024 by BorgDiven
1
Why apply triplet loss to img_feature_last?
#35 opened Mar 15, 2024 by rtfgithub
Training with .CSV Files: Image Paths and Text Descriptions
#34 opened Mar 14, 2024 by Researcher-DL
感谢您的工作！有一些困惑请教！
#33 opened Mar 11, 2024 by rtfgithub
1
About the reid model of the vehicle
#32 opened Mar 9, 2024 by 972821054
1
pre-trained CLIP-ReID for evaluation when having no train data
#31 opened Mar 1, 2024 by Researcher-DL
Will L2 normalization for image and text leads to better results?
#30 opened Feb 19, 2024 by FranklinLingfeng
Will using arcface loss performs better than CE ?
#29 opened Jan 9, 2024 by zhishao
About Fig3 in the paper
#28 opened Dec 8, 2023 by YangJae96
1
代码运行问题
#27 opened Nov 24, 2023 by Velpro-collab
Is it possible to apply CLIP-ReID to visible-infrared person re-identification?
#26 opened Nov 21, 2023 by wanderer1230
2
关于分布式训练
#25 opened Nov 7, 2023 by Mrkkew
Request for attention visualization
#24 opened Nov 7, 2023 by syh4661
3
Can't load the weights of VehicleID
#23 opened Oct 27, 2023 by shreejalt
ProTip! Follow long discussions with comments:>50.