Hi, Thanks for your works!
In your paper, Top_{lsls} is about 8.1, in your github repo, result is 25+ , why ? The code is different ? or evaluate code changed ?
I use A100 to reproduce, 4(sample gpu) * 2(card), the result is :
Epoch(val) [24][2403] mAP: 0.3225, AP_ls: 0.32722604274749756, AP_ped: 0.31785154342651367, TOP_lsls: 0.0660
What could be wrong?~
Solved
Evaluate code is different
new result is :
'mAP': 0.322945237159729, 'AP_ls': 0.32723057, 'AP_ped': 0.3186599, 'TOP_lsls': 0.2624311157463498
use A100 to reproduce, 4(sample gpu) * 2(card)
Hi, Thanks for your works! In your paper,
Top_{lsls}
is about 8.1, in your github repo, result is 25+ , why ? The code is different ? or evaluate code changed ? I use A100 to reproduce, 4(sample gpu) * 2(card), the result is : Epoch(val) [24][2403] mAP: 0.3225, AP_ls: 0.32722604274749756, AP_ped: 0.31785154342651367, TOP_lsls: 0.0660 What could be wrong?~