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Being a cross-camera retrieval task, person re-identification suffers from image style variations caused by different cameras. The art implicitly addresses this problem by learning a camera-invariant descriptor subspace... (read more)
PDF Abstract CVPR 2018 PDF CVPR 2018 Abstract| TASK | DATASET | MODEL | METRIC NAME | METRIC VALUE | GLOBAL RANK | BENCHMARK |
|---|---|---|---|---|---|---|
| Person Re-Identification | DukeMTMC-reID | IDE* + CamStyle | Rank-1 | 75.27 | # 37 | |
| MAP | 53.48 | # 44 | ||||
| Person Re-Identification | DukeMTMC-reID | IDE* | Rank-1 | 72.31 | # 40 | |
| MAP | 51.83 | # 46 | ||||
| Person Re-Identification | DukeMTMC-reID | IDE* + CamStyle + Random Erasing | Rank-1 | 78.32 | # 33 | |
| MAP | 57.61 | # 40 | ||||
| Person Re-Identification | Market-1501 | IDE* + CamStyle | Rank-1 | 88.12 | # 37 | |
| MAP | 68.72 | # 53 | ||||
| Person Re-Identification | Market-1501 | IDE* | Rank-1 | 85.66 | # 41 | |
| MAP | 65.87 | # 55 | ||||
| Person Re-Identification | Market-1501 | IDE* + CamStyle + Random Erasing | Rank-1 | 89.49 | # 32 | |
| MAP | 71.55 | # 47 |
Market-1501
Batch Normalization
Residual Connection
PatchGAN
ReLU
Tanh Activation
Residual Block
Instance Normalization
Convolution
Leaky ReLU
Sigmoid Activation
GAN Least Squares Loss
Cycle Consistency Loss
CycleGAN