Fig 1.
Contrast learning.
Fig 2.
Overall architecture diagram of the model.
Table 1.
Analysis of different p0 values on DukeMTMCTOMarket1501 task.
Table 2.
Analysis of different p0 values on Market1501TODukeMTMC task.
Fig 3.
resnet50featuremaps.
Table 3.
Dataset characteristics.
Table 4.
mAP Values of different functions.
Fig 4.
DukeMTMCTOMarket1501 loss ce.
Fig 5.
Market1501TODukeMTMC loss ce.
Fig 6.
DukeMTMCTOMarket1501 loss ce soft.
Fig 7.
Market1501TODukeMTMC loss ce soft.
Fig 8.
DukeMTMCTOMarket1501 loss contrast.
Fig 9.
Market1501TODukeMTMC loss contrast.
Fig 10.
DukeMTMCTOMarket1501 mAP.
Fig 11.
Market1501TODukeMTMC mAP.
Fig 12.
t-SNE Market1501 k = 5.
Fig 13.
t-SNE Market1501 k = 10.
Fig 14.
t-SNE DukeMTMC k = 5.
Fig 15.
t-SNE DukeMTMC k = 10.
Table 5.
Performance comparison of different methods.
Table 6.
Performance comparison of different methods on cross-domain person re-identification tasks (mAP, Rank-1, Rank-5, Rank-10).