SOTAVerified

Person Re-Identification

Person Re-Identification is a computer vision task in which the goal is to match a person's identity across different cameras or locations in a video or image sequence. It involves detecting and tracking a person and then using features such as appearance, body shape, and clothing to match their identity in different frames. The goal is to associate the same person across multiple non-overlapping camera views in a robust and efficient manner.

Papers

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Showing 751–800 of 1488 papers

TitleStatusHype
Understanding Image Retrieval Re-Ranking: A Graph Neural Network PerspectiveCode1
PoNA: Pose-guided Non-local Attention for Human Pose TransferCode1
Multi-Scale Cascading Network with Compact Feature Learning for RGB-Infrared Person Re-Identification—0
One for More: Selecting Generalizable Samples for Generalizable ReID Model—0
Strong but Simple Baseline with Dual-Granularity Triplet Loss for Visible-Thermal Person Re-IdentificationCode1
UnrealPerson: An Adaptive Pipeline towards Costless Person Re-identificationCode1
Unsupervised Pre-training for Person Re-identificationCode1
Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-IdentificationCode1
The Dilemma of TriHard Loss and an Element-Weighted TriHard Loss for Person Re-IdentificationCode1
Meta Batch-Instance Normalization for Generalizable Person Re-IdentificationCode1
Detecting Video Game Player Burnout with the Use of Sensor Data and Machine LearningCode1
Enhancing Diversity in Teacher-Student Networks via Asymmetric branches for Unsupervised Person Re-identificationCode1
Fine-Grained Re-IdentificationCode1
Multi-Domain Adversarial Feature Generalization for Person Re-Identification—0
DomainMix: Learning Generalizable Person Re-Identification Without Human AnnotationsCode1
Imbalance Robust Softmax for Deep Embeeding Learning—0
Learning Local Feature Descriptors for Multiple Object Tracking—0
Shuffle and Learn: Minimizing Mutual Information for Unsupervised HashingCode1
DSAM: A Distance Shrinking with Angular Marginalizing Loss for High Performance Vehicle Re-identificatio—0
PoseTrackReID: Dataset Description—0
Domain Adaptive Person Re-Identification via Coupling OptimizationCode0
Unsupervised Attention Based Instance Discriminative Learning for Person Re-IdentificationCode0
Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports DatasetCode1
Set Augmented Triplet Loss for Video Person Re-Identification—0
Domain Generalized Person Re-Identification via Cross-Domain Episodic Learning—0
Police-In-The-Loop Person Re-identification—0
Taking A Closer Look at Synthesis: Fine-grained Attribute Analysis for Person Re-Identification—0
Integrating Coarse Granularity Part-level Features with Supervised Global-level Features for Person Re-identification—0
Fully Unsupervised Person Re-identification viaSelective Contrastive Learning—0
How important are faces for person re-identification?—0
Top-DB-Net: Top DropBlock for Activation Enhancement in Person Re-IdentificationCode1
Domain Agnostic Learning for Unbiased Authentication—0
End-to-End Training of CNN Ensembles for Person Re-Identification—0
Semantics-Guided Clustering with Deep Progressive Learning for Semi-Supervised Person Re-identification—0
Taking Modality-free Human Identification as Zero-shot Learning—0
Concentrated Multi-Grained Multi-Attention Network for Video Based Person Re-Identification—0
FTN: Foreground-Guided Texture-Focused Person Re-Identification—0
Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss—0
Improving Person Re-identification with Iterative Impression Aggregation—0
Batch Coherence-Driven Network for Part-aware Person Re-Identification—0
Unsupervised Domain Adaptation for Person Re-Identification through Source-Guided Pseudo-Labeling—0
Dual-path CNN with Max Gated block for Text-Based Person Re-identificationCode1
Robust Person Re-Identification through Contextual Mutual Boosting—0
Hybrid-Attention Guided Network with Multiple Resolution Features for Person Re-IdentificationCode1
SSKD: Self-Supervised Knowledge Distillation for Cross Domain Adaptive Person Re-Identification—0
Devil's in the Details: Aligning Visual Clues for Conditional Embedding in Person Re-Identification—0
Temporal Attribute-Appearance Learning Network for Video-based Person Re-Identification—0
Progressive Bilateral-Context Driven Model for Post-Processing Person Re-IdentificationCode0
A Self-Supervised Gait Encoding Approach with Locality-Awareness for 3D Skeleton Based Person Re-IdentificationCode1
Class Interference Regularization—0
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All datasetsMarket-1501DukeMTMC-reIDMSMT17Occluded-DukeMTMCMarket-1501-CCUHK03 detectedCUHK03 labeledMARSCUHK03LTCCPRCCPRID2011

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1st-ReID(RE, RK)Rank-198—Unverified
2SSKD(GH)Rank-197.36—Unverified
3CLIP-ReID+Pose2ID (no RK)Rank-197.3—Unverified
4SOLIDER +UFFM+AMCRank-197—Unverified
5Unsupervised Pre-training (ResNet101+MGN)Rank-197—Unverified
6RGT&RGPR (RK)Rank-196.9—Unverified
7SOLIDERRank-196.9—Unverified
8LightMBN (RR)Rank-196.8—Unverified
9Viewpoint-Aware Loss(RK)Rank-196.79—Unverified
10TransReID-SSL (ViT-B w/o RK)Rank-196.7—Unverified
#ModelMetricClaimedVerifiedStatus
1DenseILmAP97.1—Unverified
2CTL Model (ResNet50, 256x128)mAP96.1—Unverified
3BPBreID (RK)mAP92.9—Unverified
4Unsupervised Pre-training (ResNet101+RK)mAP92.77—Unverified
5RGT&RGPR (RK)mAP92.7—Unverified
6st-ReID(RE, RK,Cam)mAP92.7—Unverified
7Viewpoint-Aware Loss(RK)mAP91.8—Unverified
8LDS (ResNet50 + RK)mAP91—Unverified
9Adaptive L2 Regularization (with re-ranking)mAP90.7—Unverified
10FlipReID (with re-ranking)mAP90.7—Unverified