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Person Re Identification On Msmt17

Métriques

Rank-1
mAP

Résultats

Résultats de performance de divers modèles sur ce benchmark

Paper Title
CLIP-ReID (with re-ranking)91.186.7CLIP-ReID: Exploiting Vision-Language Model for Image Re-Identification without Concrete Text Labels
SOLIDER (with re-ranking)91.786.5Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks
FlipReID (with re-ranking)87.581.3FlipReID: Closing the Gap between Training and Inference in Person Re-Identification
ProNet++ (ResNet50+RK)88.280Rethinking Person Re-identification from a Projection-on-Prototypes Perspective
LDS (ResNet50+RK)88.3579.09Learning to Disentangle Scenes for Person Re-identification
SOLIDER (without re-ranking)90.777.1Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks
Adaptive L2 Regularization (with re-ranking)84.976.7Adaptive L2 Regularization in Person Re-Identification
PCL-CLIP (L_pcl+L_id)89.876.1Prototypical Contrastive Learning-based CLIP Fine-tuning for Object Re-identification
CLIP-ReID (without re-ranking)89.775.8CLIP-ReID: Exploiting Vision-Language Model for Image Re-Identification without Concrete Text Labels
TransReID-SSL (ViT-B without RK)89.575.0Self-Supervised Pre-Training for Transformer-Based Person Re-Identification
CA-Jaccard86.274.1CA-Jaccard: Camera-aware Jaccard Distance for Person Re-identification
PCL-CLIP (L_pcl)89.273.8Prototypical Contrastive Learning-based CLIP Fine-tuning for Object Re-identification
DiP (without RK)87.371.8DiP: Learning Discriminative Implicit Parts for Person Re-Identification
TransReID86.2069.40TransReID: Transformer-based Object Re-Identification
Unsupervised Pre-training (ResNet101+MGN)86.668.8Unsupervised Pre-training for Person Re-identification
FlipReID (without re-ranking)85.668.0FlipReID: Closing the Gap between Training and Inference in Person Re-Identification
Weakly Supervised Pre-training (ResNet50+MGN)86.068.0Large-Scale Pre-training for Person Re-identification with Noisy Labels
CLIP-ReID Baseline + UFFM +AMC83.867.6Enhancing person re-identification via Uncertainty Feature Fusion Method and Auto-weighted Measure Combination
UniHCP (finetune)-67.3UniHCP: A Unified Model for Human-Centric Perceptions
Deep Miner (w/o ReRank)85.6067.30Deep Miner: A Deep and Multi-branch Network which Mines Rich and Diverse Features for Person Re-identification
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Person Re Identification On Msmt17 | SOTA | HyperAI