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 551–600 of 1488 papers

TitleStatusHype
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identificationCode0
Fusion for Visual-Infrared Person ReID in Real-World Surveillance Using Corrupted Multimodal DataCode0
Invisible Backdoor Attack with Dynamic Triggers against Person Re-identificationCode0
In Defense of the Classification Loss for Person Re-IdentificationCode0
In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label DistillationCode0
Generalizing A Person Retrieval Model Hetero- and HomogeneouslyCode0
Cross-dataset Person Re-Identification Using Similarity Preserved Generative Adversarial NetworksCode0
In Defense of the Triplet Loss for Person Re-IdentificationCode0
BR-NPA: A Non-Parametric High-Resolution Attention Model to improve the Interpretability of AttentionCode0
Improved Instance Discrimination and Feature Compactness for End-to-End Person SearchCode0
Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network ModelsCode0
CPCL: Cross-Modal Prototypical Contrastive Learning for Weakly Supervised Text-based Person Re-IdentificationCode0
Following the Clues: Experiments on Person Re-ID using Cross-Modal IntelligenceCode0
Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identificationCode0
Incremental Learning in Person Re-IdentificationCode0
Joint Detection and Identification Feature Learning for Person SearchCode0
Identity-Sensitive Knowledge Propagation for Cloth-Changing Person Re-identificationCode0
IAUnet: Global Context-Aware Feature Learning for Person Re-IdentificationCode0
CORE-ReID V2: Advancing the Domain Adaptation for Object Re-Identification with Optimized Training and Ensemble FusionCode0
HydraPlus-Net: Attentive Deep Features for Pedestrian AnalysisCode0
ID-aware Quality for Set-based Person Re-identificationCode0
Illumination Distillation Framework for Nighttime Person Re-Identification and A New BenchmarkCode0
Holistic Guidance for Occluded Person Re-IdentificationCode0
Horizontal Pyramid Matching for Person Re-identificationCode0
Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and BeyondCode0
Feature Completion for Occluded Person Re-IdentificationCode0
Attribute De-biased Vision Transformer (AD-ViT) for Long-Term Person Re-identificationCode0
Pairwise Similarity Learning is SimPLECode0
Contrastive Multiple Instance Learning for Weakly Supervised Person ReID—0
FastPose: Towards Real-time Pose Estimation and Tracking via Scale-normalized Multi-task Networks—0
Fast Person Re-Identification via Cross-Camera Semantic Binary Transformation—0
Continuous Adaptation of Multi-Camera Person Identification Models through Sparse Non-redundant Representative Selection—0
Context Sensing Attention Network for Video-based Person Re-identification—0
FAM: Visual Explanations for the Feature Representations From Deep Convolutional Networks—0
Context-Aware Unsupervised Clustering for Person Search—0
Attribute analysis with synthetic dataset for person re-identification—0
Fairest of Them All: Establishing a Strong Baseline for Cross-Domain Person ReID—0
Factorized Distillation: Training Holistic Person Re-identification Model by Distilling an Ensemble of Partial ReID Models—0
Extended Cross-Modality United Learning for Unsupervised Visible-Infrared Person Re-identification—0
Attribute Adaptive Margin Softmax Loss using Privileged Information—0
Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems—0
Exploring the Quality of GAN Generated Images for Person Re-Identification—0
Constrained Dominant sets and Its applications in computer vision—0
Exploring the Camera Bias of Person Re-identification—0
Exploring Stronger Transformer Representation Learning for Occluded Person Re-Identification—0
Constrained Deep Metric Learning for Person Re-identification—0
AttKGCN: Attribute Knowledge Graph Convolutional Network for Person Re-identification—0
A Little Bit Attention Is All You Need for Person Re-Identification—0
Exploring Shape Embedding for Cloth-Changing Person Re-Identification via 2D-3D Correspondences—0
Exploring Part-Informed Visual-Language Learning for Person Re-Identification—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
10SOLIDER (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
5st-ReID(RE, RK,Cam)mAP92.7—Unverified
6RGT&RGPR (RK)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