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Pytorch Code for Cross-Modality Person Re-Identification (Visible Thermal/Infrared Re-ID)

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Hi, Dr Ye, thanks for your released code. I have trained the model but got lower results ------only 28.03(map). I just run `python pre_process_sysu.py` to prepare the dataset and 'python...

How to test RegDB in infrared to visible test mode?

Thanks for your impressive work. In the ICCV21 CAJ paper, the grayscale transformation (CA) is used. But is seems that the codes don't use CA? Could you please describe what...

Hi~ It is a nice job. The proposed WRT loss seems to be the improved version of the original Triplet loss. Did you carry out any ablation studies on the...

https://github.com/mangye16/Cross-Modal-Re-ID-baseline/blob/910c650fcdda75984dfc9da3d9d46eb044c56969/train.py#L362

https://github.com/mangye16/Cross-Modal-Re-ID-baseline/blob/910c650fcdda75984dfc9da3d9d46eb044c56969/train.py#L362

Thanks for the source code, it helped me a lot. But when I train on RegDB dataset, the model does not converge. I used the following statement: `python train_ext.py --dataset...

I train a model by: ![0c4286b4416487068b6e1f046708fd4](https://user-images.githubusercontent.com/39946114/201463083-7ae347de-f3bc-471f-a287-ddae5f9f32ed.jpg) After training 98 epoch, I get the following results: ![d3356f69f666418062f127910f05b6a](https://user-images.githubusercontent.com/39946114/201463143-18ce18b2-da29-4339-9d60-1862021a3ebf.jpg) Why my result are so different from yours? ![image](https://user-images.githubusercontent.com/39946114/201463268-0a33223b-a372-4a4e-af02-f29057acb751.png) The setting is: ![image](https://user-images.githubusercontent.com/39946114/201463231-5884cc94-0736-4e98-9d36-50bf0b613a1b.png)

First of all, thank you for providing this code as a benchmark method for the VI-ReID task. During the experiment, I found a serious problem in the Non-Local module. The...