search

X-BrainLab / PI-ReID

MIT License
44 stars 10 forks source link

Got a higher performance than you reported #3

Open minidiscover opened 4 years ago

X-BrainLab commented 4 years ago

Hi, I also got this result before with PISNet when implemented with Guidance Reversed Attention Module and the Multi-Person Separation Loss. But actually it is unstable to reach this performance. In order to be easily reproducible, I did not report this result, which is more like a overfitting result to the test set.

minidiscover commented 4 years ago

Thanks. The second and third runs got 43.1 rank-1 and 43.8 mAP, and 42.3 rank-1 and 44.0 mAP on PI-PRW.

Wang-pengfei commented 4 years ago

Thanks. The second and third runs got 43.1 rank-1 and 43.8 mAP, and 42.3 rank-1 and 44.0 mAP on PI-PRW.

可以请教一下怎么在Market-1501上进行测试吗，我没有找到测试的代码...

Yx1322441675 commented 3 years ago

Hi, I also got this result before with PISNet when implemented with Guidance Reversed Attention Module and the Multi-Person Separation Loss. But actually it is unstable to reach this performance. In order to be easily reproducible, I did not report this result, which is more like a overfitting result to the test set.

Do you have the file pre_index_dir/cuhk_pre_index.json? can you share with me ?I can't find it and i'm not clear how to get it