Person Re-identification on Market-1501 single query (test)
95.1Rank-1MHN-6 (PCB)
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| MHN-6 (PCB)backbone=PCB, number of HOA modules=62019.08 | 95.1 | 98.1 | 98.9 | 85 | |
| CASN+PCBReference=CVPR192019.08 | 94.4 | — | — | 82.8 | |
| PCB+RPPReference=ECCV182019.08 | 93.8 | 97.5 | 98.5 | 81.6 | |
| MHN-6 (IDE)backbone=IDE, number of HOA modules=62019.08 | 93.6 | 97.7 | 98.6 | 83.6 | |
| DNN-CRFReference=CVPR182019.08 | 93.5 | 97.7 | — | 81.6 | |
| MancsReference=ECCV182019.08 | 93.1 | — | — | 82.3 | |
| PCBre-implementation=true, Reference=[43]2019.08 | 93.1 | 97.5 | 98.5 | 78.6 | |
| PABRReference=ECCV182019.08 | 91.7 | 96.9 | 98.1 | 79.6 | |
| HA-CNNReference=CVPR182019.08 | 91.2 | — | — | 75.7 | |
| KPMReference=CVPR182019.08 | 90.1 | 96.7 | 97.9 | 75.3 | |
| MLFNReference=CVPR182019.08 | 90 | — | — | 74.3 | |
| DaRe(De)+REReference=CVPR182019.08 | 89 | — | — | 76 | |
| IDEre-implementation=true, Reference=[63]2019.08 | 89 | 95.7 | 97.3 | 73.9 | |
| TransferBase network=GoogleNet2017.03 | 83.7 | — | — | 65.5 | |
| SVDNetBase network=ResNet-50, Output dimension=10242017.03 | 82.3 | — | — | 62.1 | |
| SVDNetReference=ICCV172019.08 | 82.3 | — | — | 62.1 | |
| Our Methodcategory=deeply learnt feature representation (DF), backbone=GoogLeNet2017.07 | 81 | 92 | 94.7 | 63.4 | |
| SVDNetBase network=CaffeNet2017.03 | 80.5 | — | — | 55.9 | |
| Identification-Verification ModelBackbone=ResNet-502016.11 | 79.51 | — | — | 59.87 | |
| DLCEBase network=ResNet-502017.03 | 79.5 | — | — | 59.9 | |
| PIE + KISSMEcategory=deeply learnt feature representation (DF)2017.07 | 79.33 | 90.76 | 94.41 | 55.95 | |
| PIEBase network=ResNet-502017.03 | 79.3 | — | — | 56 | |
| PIEcategory=deeply learnt feature representation (DF)2017.07 | 78.65 | 90.26 | 93.59 | 53.87 | |
| ReRankBase network=ResNet-502017.03 | 77.1 | — | — | 63.6 | |
| SOMAnetBase network=VGG2017.03 | 73.9 | — | — | 47.9 | |
| ResNet-50-Basel.Backbone=ResNet-502016.11 | 73.69 | — | — | 51.48 | |
| Identification-Verification ModelBackbone=VGG162016.11 | 70.16 | — | — | 47.45 | |
| Gated S-CNNcategory=deep learning with matching subnetwork (DMN)2017.07 | 65.9 | — | — | 39.6 | |
| Gated SCNN2017.03 | 65.9 | — | — | 39.6 | |
| Gate Reid2016.11 | 65.88 | — | — | 39.55 | |
| PIEBase network=AlexNet2017.03 | 65.7 | — | — | 41.1 | |
| VGG16-Basel.Backbone=VGG162016.11 | 65.02 | — | — | 38.27 | |
| UCDA-CCESource Domain=DukeMTMC-reID, Evaluation Protocol=Single-query, Backbone=ResNet-502019.04 | 64.3 | — | — | 34.5 | |
| HHLSource Domain=DukeMTMC-reID, Evaluation Protocol=Single-query2019.04 | 62.2 | — | — | 31.4 | |
| Identification-Verification ModelBackbone=CaffeNet2016.11 | 62.14 | — | — | 39.61 | |
| DLCEBase network=CaffeNet2017.03 | 62.1 | — | — | 39.6 | |
| LSTM Siamese2017.03 | 61.6 | — | — | 35.3 | |
| ReRankBase network=CaffeNet2017.03 | 61.3 | — | — | 46.8 | |
| DNS2017.03 | 61 | — | — | 35.6 | |
| TFusionSource Domain=DukeMTMC-reID, Evaluation Protocol=Single-query2019.04 | 60.8 | — | — | — | |
| UCDA-GRLSource Domain=DukeMTMC-reID, Evaluation Protocol=Single-query, Backbone=ResNet-502019.04 | 60.4 | — | — | 30.9 | |
| TJ-AIDLSource Domain=DukeMTMC-reID, Evaluation Protocol=Single-query2019.04 | 58.2 | — | — | 26.5 | |
| SPGAN+LMPSource Domain=DukeMTMC-reID, Evaluation Protocol=Single-query2019.04 | 57.7 | — | — | 26.7 | |
| DNS2016.11 | 55.43 | — | — | 29.87 | |
| DNScategory=metric learning (M)2017.07 | 55.4 | — | — | 29.9 | |
| Null Space2017.03 | 55.4 | — | — | 29.9 | |
| SCSPcategory=metric learning (M)2017.07 | 51.9 | 72 | 79 | 26.4 | |
| SCSP2017.03 | 51.9 | — | — | 26.4 | |
| SL2016.11 | 51.9 | — | — | 26.35 | |
| UJSDLSource Domain=DukeMTMC-reID, Evaluation Protocol=Single-query2019.04 | 50.9 | — | — | — | |
| CaffeNet-Basel.Backbone=CaffeNet2016.11 | 50.89 | — | — | 26.79 | |
| CAN2016.11 | 48.24 | — | — | 24.43 | |
| CAN2017.03 | 48.2 | — | — | 24.4 | |
| Fisher Network2016.11 | 48.15 | — | — | 29.94 | |
| TMAcategory=metric learning (M)2017.07 | 47.9 | — | — | — | |
| Multiregion CNN2016.11 | 45.58 | — | — | 26.11 | |
| WARCAcategory=metric learning (M)2017.07 | 45.2 | 68.2 | 76 | 22.3 | |
| BOW + KISSME2016.11 | 44.42 | — | — | 20.76 | |
| KISSMEcategory=metric learning (M)2017.07 | 44.4 | 63.9 | 72.2 | 20.8 | |
| BoW+kissmeReference=ICCV152019.08 | 44.4 | 63.9 | 72.2 | 20.8 | |
| LOMO+XQDA2017.03 | 43.8 | — | — | 22.2 | |
| SSDALcategory=deeply learnt feature representation (DF)2017.07 | 39.4 | — | — | 19.6 | |
| DADM2016.11 | 39.4 | — | — | 19.6 | |
| PTGANSource Domain=DukeMTMC-reID, Evaluation Protocol=Single-query2019.04 | 38.6 | — | — | — | |
| PersonNetcategory=deep learning with matching subnetwork (DMN)2017.07 | 37.2 | — | — | 18.6 | |
| BoWcategory=feature extraction (F)2017.07 | 35.8 | 52.4 | 60.3 | 14.8 | |
| UMDLSource Domain=DukeMTMC-reID, Evaluation Protocol=Single-query2019.04 | 34.5 | — | — | 12.4 | |
| LOMOcategory=feature extraction (F)2017.07 | 26.1 | — | — | 7.8 |