Person Transfer GAN to Bridge Domain Gap for Person Re-Identification |
PTGAN |
CVPR2018 |
- |
- |
https://github.com/pkuvmc/PTGAN |
Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification |
TJ-AIDL |
CVPR2018 |
23.0/44.3 |
26.5/58.2 |
- |
Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification |
SPGAN |
CVPR2018 |
26.9/58.1 |
26.4/46.9 |
https://github.com/Simon4Yan/Learning-via-Translation |
Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification |
ARN |
CVPR2018W |
39.4/70.3 |
33.4/60.2 |
https://github.com/yujheli/ARN |
Generalizing A Person Retrieval Model Hetero- and Homogeneously |
HHL |
ECCV2018 |
31.4/62.2 |
27.2/46.9 |
https://github.com/zhunzhong07/HHL |
Unsupervised Person Re-identification by Deep Learning Tracklet Association |
TAUDL |
ECCV2018 |
41.2/63.7 |
43.5/61.7 |
- |
Unsupervised Tracklet Person Re-Identification |
UTAL |
TPAMI2019 |
46.2/69.2 |
44.6/62.3 |
- |
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification |
ECN |
CVPR2019 |
43.0/75.1 |
40.4/63.3 |
https://github.com/zhunzhong07/ECN |
Unsupervised Person Re-identification by Soft Multilabel Learning |
MAR |
CVPR2019 |
40.0/67.7* |
48.0/67.1* |
https://github.com/KovenYu/MAR |
Unsupervised Person Re-Identification with Iterative Self-Supervised Domain Adaptation |
ISSDA-ReID |
CVPR2019W |
63.1/81.3 |
54.1/72.8 |
- |
Patch-based discriminative feature learning for unsupervised person re-identification |
PAUL |
CVPR2019 |
40.1/68.5* |
53.2/72.0* |
https://github.com/QizeYang/PAUL |
Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding |
DECAMEL |
TPAMI2019 |
32.44/60.24 |
- |
https://github.com/KovenYu/DECAMEL |
Learning to Adapt Invariance in Memory for Person Re-identification |
ECN+GPP |
TPAMI2019 |
63.8/84.1 |
54.4/74.0 |
- |
Adversarial Camera Alignment Network for Unsupervised Cross-camera Person Re-identification |
ACAN |
TIP? |
50.6/73.3 |
46.6/65.1 |
- |
Unsupervised Person Re-identification: Clustering and Fine-tuning |
PUL |
TOMCCAP17 |
(D,C->M) 24.8/50.9 |
(M,C->D) 21.5/36.5 |
https://github.com/hehefan/Unsupervised-Person-Re-identification-Clustering-and-Fine-tuning |
A Bottom-up Clustering Approach to Unsupervised Person Re-identification |
BUC |
AAAI2019 |
(M) 38.3/66.2 29.6/61.9 |
(D) 27.5/47.4 22.1/40.4 |
https://github.com/vana77/Bottom-up-Clustering-Person-Re-identification |
Towards better Validity: Dispersion based Clustering for Unsupervised Person Re-identification |
DBC |
Arxiv19(TMM?) |
(M) 41.3/69.2 |
(D) 30.0/51.5 |
https://github.com/gddingcs/Dispersion-based-Clustering |
Adaptive Exploration for Unsupervised Person Re-Identification |
AE |
Arxiv19(TMM?) |
54.0/77.5 |
39.6/63.2 |
https://github.com/dyh127/Adaptive-Exploration-for-Unsupervised-Person-Re-Identification |
Hierarchical Clustering-guided re-ID with Triplet loss |
HRC |
Arxiv19 |
(M) 55.3/79.5 |
(D) 46.8/66.0 |
- |
Consistent Cross-view Matching for Unsupervised Person Re-identification |
CCM |
Arxiv19 |
(M)43.1/71.7 |
- |
- |
Unsupervised Person Re-identification via Multi-label Classification |
MMCL |
CVPR20 |
45.5/80.3 |
40.2/65.2 |
https://github.com/kennethwdk/MLCReID |
Unsupervised Person Re-identification via Softened Similarity Learning |
SSL |
CVPR20 |
37.8/71.7 |
28.6/52.5 |
- |
- |
- |
- |
- |
- |
- |