Xin Yuan
Xin Yuan
All right. Thank you very much!
Get it. Thank you very much!
First of all, thank you for your great interest in our work. 3368_ResNet-50.mat is the distance matrix extracted on Market -1501 with the following data format: `mat:{'distmat':distmat,'gallery_label':gallery_label,'gallery_cam':gallery_cam,'query_label':query_label,'query_cam':query_cam} # Save to...
For your testing convenience, I have shared 3368_ResNet-50.mat data. https://ws28.cn/f/431f9cku3gs
You're welcome. To simulate the open-set re-ID setting, we randomly select 100 images from other datasets as new queries. 100_ResNet-50.mat is obtained like this. 100_ResNet-50.mat has the same format as...
You don't need to calculate the distance. This "distmat" is the European distance that has been calculated and normalized and can be brought directly to the test.
If you test it in your own way, the final distance should be normalized.
**Attention：To facilitate the division of thresholds, distances must be normalized to the range of [0, 1].**
I'm sorry for the confusion in your work. Note that you get the features directly from your method, then calculate the distances using the original method, and finally, it is...
You're welcome, we're using Min-Max Normalization. such as distance = (distance - distance.min()) / (distance.max() - distance.min())