Open ZzzybEric opened 1 year ago
Hi @ZzzybEric
Thank you.
I am not sure about this. You need to check the image number of train / query/ gallery with the paper to ensure it is correct.
You may consider to use more losses / PCB / random erasing / reranking to improve result. Of course, changing lr Rate and batch size are always the first step.
hello , layumi I want to train the occluded duke dataset , can i use prepare.py to prepare dataset directly?
And i use prepare.py to prepare occluded-duke dataset , use swin transformer backbone , rank1 achieved 59%, do you have any suggestions to improve this result? thank you!!