How to reproduce your best result?
Xiangyu-CAS opened this issue · 3 comments
Xiangyu-CAS commented
Hi, I was trying to reproduce your best result (mAP=88.7%) by simply runing
python tools/train.py --config_file='configs/softmax_ranked.yml' DATASETS.NAMES "('market1501')"
but I got a much worse result at mAP=86.5%, with 2% margin to claimed result. Moreover, it's even lower than using triplet loss. What I can do to get your claimed result?
model | mAP | loss |
---|---|---|
r50-ibn-a(my result) | 87.1% | softmax + triplet |
r50-ibn-a(my result) | 86.5% | softmax + ranked |
r50-ibn-a(your result) | 88.7% | softmax + ranked |
Thank you!
Qidian213 commented
Did you change training paramters ?
There are some exp result, you can refer (Resnet50_ibn_a).
Try more epoch ?
`
w | r | T | DukeMTMC-ReID | Market1501 |
---|---|---|---|---|
mAP | rank1 | mAP | rank1 | |
0.2 | 0.7 | 1.0 | 80.2 | 90.1 |
0.4 | 0.7 | 1.0 | 80.8 | 90.9 |
0.6 | 0.7 | 1.0 | 80.6 | 90.2 |
w | r | T | DukeMTMC-ReID | Market1501 |
---|---|---|---|---|
mAP | rank1 | mAP | rank1 | |
0.4 | 0.6 | 1.0 | 80.3 | 90.6 |
0.4 | 0.7 | 1.0 | 80.8 | 90.9 |
0.4 | 0.8 | 1.0 | 80.8 | 90.4 |
w | r | T | DukeMTMC-ReID | Market1501 |
---|---|---|---|---|
mAP | rank1 | mAP | rank1 | |
0.4 | 0.7 | 0.5 | 80.4 | 90.6 |
0.4 | 0.7 | 1.0 | 80.8 | 90.9 |
0.4 | 0.7 | 5.0 | 80.3 | 90.6 |
`
say2sarwar commented
I used your RankedListLoss for car196 dateset but i can't reproduce the results. the loss is increasing with every epoch. any thoughts?
Mr-Da-Yang commented