Circle Loss: A Unified Perspective of Pair Similarity Optimization

Benchmark Model Rank Results
face-recognition-on-cfp-fpCircleLoss(ours)#3Accuracy: 0.9602
face-recognition-on-lfwCircleLoss#7Accuracy: 0.9973
face-verification-on-ijb-ccircle loss#10TAR @ FAR=1e-5: 89.60%TAR @ FAR=1e-4: 93.95%TAR @ FAR=1e-3: 96.29%
metric-learning-on-cars196CircleLoss#26R@1: 83.4
metric-learning-on-stanford-online-products-1Circle Loss#26R@1: 78.3
person-re-identification-on-market-1501MGN + CircleLoss(ours)#24Rank-1: 96.1mAP: 87.4
person-re-identification-on-market-1501ResNet50 + CircleLoss(ours)#73Rank-1: 94.2mAP: 84.9
person-re-identification-on-msmt17MGN + CircleLoss(ours)#31mAP: 52.1Rank-1: 76.9
person-re-identification-on-msmt17ResNet50 + CircleLoss(ours)#32mAP: 50.2Rank-1: 76.3