HyperAI超神经

Person Re Identification On Market 1501

评估指标

Rank-1
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
mAP
Paper TitleRepository
CAL95.589.5Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification
Auto-ReID(RK)95.494.2Auto-ReID: Searching for a Part-aware ConvNet for Person Re-Identification
OSNet94.884.9Omni-Scale Feature Learning for Person Re-Identification
Top-DB-Net + RK95.594.1Top-DB-Net: Top DropBlock for Activation Enhancement in Person Re-Identification
BPBreID95.789.4Body Part-Based Representation Learning for Occluded Person Re-Identification
DAAF-BoT95.187.9Deep Attention Aware Feature Learning for Person Re-Identification
S-CNN65.8839.55Gated Siamese Convolutional Neural Network Architecture for Human Re-Identification-
MGN + CircleLoss(ours)96.187.4Circle Loss: A Unified Perspective of Pair Similarity Optimization
A3M86.5468.97Attribute-Aware Attention Model for Fine-grained Representation Learning
P2-Net (triplet loss)95.285.6Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification
PyrNet (single-shot)93.681.7Aggregating Deep Pyramidal Representations for Person Re-Idenfitication
SPreID [kalayeh2018human]93.683.3Human Semantic Parsing for Person Re-identification-
CBN+BoT*94.383.6Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization
CLIP-ReID Baseline +UFFM+AMC96.192.0Enhancing Person Re-Identification via Uncertainty Feature Fusion and Auto-weighted Measure Combination-
IDE*85.6665.87Camera Style Adaptation for Person Re-identification
LuNet81.3860.71In Defense of the Triplet Loss for Person Re-Identification
Dual Cluster Contrastive95.489.2Dual Cluster Contrastive learning for Object Re-Identification
MSINet (2.3M w/o RK)95.389.6MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID
DiP (without RK)95.890.8DiP: Learning Discriminative Implicit Parts for Person Re-Identification
KPR95.989.6Keypoint Promptable Re-Identification
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