Proxy-Anchor-CVPR2020
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Official PyTorch Implementation of Proxy Anchor Loss for Deep Metric Learning, CVPR 2020
if args.loss == 'Proxy_Anchor': param_groups.append({'params': criterion.parameters(), 'lr':float(args.lr) * 100}) elif args.loss == 'Proxy_NCA': param_groups.append({'params': criterion.parameters(), 'lr':float(args.lr)}) Why do you multiply yours lr by 100, but not the other method? In...
Hello, I guess the README reported training result, not evaluation for SOP? I used your pre-trained model, ran the evaluate.py and got much lower result. Is this expected? | Method...
python train.py --gpu-id 0 --loss Proxy_Anchor --model r esnet50 --embedding-size 512 --batch-size 180 --lr 6e-4 --dataset SOP --warm 1 --bn-freeze 0 --lr-decay-step 20 --lr-dec ay-gamma 0.25 wandb: Currently logged in...