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Person Re Identification On Mars

Métriques

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mAP

Résultats

Résultats de performance de divers modèles sur ce benchmark

Paper Title
B-BOT + OSM + CL Centers* (Re-rank)--88.5Video Person Re-ID: Fantastic Techniques and Where to Find Them
DenseIL90.897.187Dense Interaction Learning for Video-based Person Re-identification
PiT90.2297.2386.8Multi-direction and Multi-scale Pyramid in Transformer for Video-based Pedestrian Retrieval
FGReID89.697.086.2Fine-Grained Re-Identification
STRF90.30 -86.10Spatio-Temporal Representation Factorization for Video-based Person Re-Identification
mgh90.096.785.8Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification
PSTA--85.8Pyramid Spatial-Temporal Aggregation for Video-Based Person Re-Identification
STMN90.5-84.5Video-based Person Re-identification with Spatial and Temporal Memory Networks
VKD (ResVKD-50bam)89.496.883.1Robust Re-Identification by Multiple Views Knowledge Distillation
B-BOT + Attention and CL loss*--82.9Video Person Re-ID: Fantastic Techniques and Where to Find Them
NVAN90-82.8Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification
AGRL89.8-81.1Adaptive Graph Representation Learning for Video Person Re-identification
Baseline + GS + SC (ours)88.32-80.41Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularization
TriNet (RK)81.2190.7677.43In Defense of the Triplet Loss for Person Re-Identification
LuNet (RK)78.4888.7473.68In Defense of the Triplet Loss for Person Re-Identification
TKP8493.773.3Temporal Knowledge Propagation for Image-to-Video Person Re-identification
PSE+ ECN (rank-dist)76.7-71.8A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Ranking
TriNet79.8091.3667.70In Defense of the Triplet Loss for Person Re-Identification
LuNet75.5689.7060.48In Defense of the Triplet Loss for Person Re-Identification
UTAL49.9-35.2Unsupervised Tracklet Person Re-Identification
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Person Re Identification On Mars | SOTA | HyperAI