Person Re Identification On Mars

评估指标

Rank-1

Rank-5

mAP

评测结果

各个模型在此基准测试上的表现结果

模型名称	Rank-1	Rank-5	mAP	Paper Title	Repository
VKD (ResVKD-50bam)	89.4	96.8	83.1	Robust Re-Identification by Multiple Views Knowledge Distillation
Baseline + GS + SC (ours)	88.32	-	80.41	Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularization
PiT	90.22	97.23	86.8	Multi-direction and Multi-scale Pyramid in Transformer for Video-based Pedestrian Retrieval
TriNet	79.80	91.36	67.70	In Defense of the Triplet Loss for Person Re-Identification
mgh	90.0	96.7	85.8	Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification
PSE+ ECN (rank-dist)	76.7	-	71.8	A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Ranking
PSTA	-	-	85.8	Pyramid Spatial-Temporal Aggregation for Video-Based Person Re-Identification
B-BOT + Attention and CL loss*	-	-	82.9	Video Person Re-ID: Fantastic Techniques and Where to Find Them
TKP	84	93.7	73.3	Temporal Knowledge Propagation for Image-to-Video Person Re-identification
B-BOT + Attention and CL loss	88.6	-	-	Video Person Re-ID: Fantastic Techniques and Where to Find Them
DenseIL	90.8	97.1	87	Dense Interaction Learning for Video-based Person Re-identification	-
UTAL	49.9	-	35.2	Unsupervised Tracklet Person Re-Identification
FGReID	89.6	97.0	86.2	Fine-Grained Re-Identification
LuNet (RK)	78.48	88.74	73.68	In Defense of the Triplet Loss for Person Re-Identification
NVAN	90	-	82.8	Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification
STMN	90.5	-	84.5	Video-based Person Re-identification with Spatial and Temporal Memory Networks
STRF	90.30	-	86.10	Spatio-Temporal Representation Factorization for Video-based Person Re-Identification	-
TriNet (RK)	81.21	90.76	77.43	In Defense of the Triplet Loss for Person Re-Identification
AGRL	89.8	-	81.1	Adaptive Graph Representation Learning for Video Person Re-identification
B-BOT + OSM + CL Centers* (Re-rank)	-	-	88.5	Video Person Re-ID: Fantastic Techniques and Where to Find Them

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