Re-ID18、19 paper list（局部特征）

Re-ID18、19 paper list

局部特征

19

• ABD-Net: Attentive but Diverse Person Re-Identification
• Mixed High-Order Attention Network for Person Re-Identification
• Self-Critical Attention Learning for Person Re-Identification
• Batch DropBlock Network for Person Re-identification and Beyond
• Person Search by Text Attribute Query as Zero-Shot Learning
• Bilinear Attention Networks for Person Retrieval
• Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification
• Interaction-and-Aggregation Network for Person Re-identification
• VRSTC: Occlusion-Free Video Person Re-Identification
• Auto-ReID: Searching for a Part-Aware ConvNet for Person Re-Identification
• Co-segmentation Inspired Attention Networks for Video-based Person Re-identification
• Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-identification
• AANet: Attribute Attention Network for Person Re-Identifications
• Second-order Non-local Attention Networks for Person Re-identification
• Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification
• Towards Rich Feature Discovery with Class Activation Maps Augmentation for Person Re-Identification
• Densely Semantically Aligned Person Re-Identification
• Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification
• Joint Discriminative and Generative Learning for Person Re-identification
• Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training
• Discriminative Feature Learning with Consistent Attention Regularization for Person Re-identification
• Omni-Scale Feature Learning for Person Re-Identification

18

• Attention-Aware Compositional Network for Person Re-identification
• Deep Spatial Feature Reconstruction for Partial Person Re-identification: Alignment-free Approach
• Diversity Regularized Spatiotemporal Attention for Video-based Person Re-identification
• Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification
• Efficient and Deep Person Re-Identification using Multi-Level Similarity
• Harmonious Attention Network for Person Re-Identification
• Human Semantic Parsing for Person Re-identification
• Mask-guided Contrastive Attention Model for Person Re-Identification
• Multi-Level Factorisation Net for Person Re-Identification
• Video Person Re-identification with Competitive Snippet-similarity Aggregation and Co-attentive Snippet Embedding
• Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association
• Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-identification
• Part-Aligned Bilinear Representations for Person Re-identification

其他

19

• Deep Constrained Dominant Sets for Person Re-Identification
• Re-ranking via Metric Fusion for Object Retrieval and Person Re-identification
• Instance-Guided Context Rendering for Cross-Domain Person Re-Identification
• Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification
• Temporal Knowledge Propagation for Image-to-Video Person Re-identification
• Re-ID Driven Localization Refinement for Person Search
• Foreground-aware Pyramid Reconstruction for Alignment-free Occluded Person Re-identification
• SBSGAN: Suppression of Inter-Domain Background Shift for Person Re-Identification
• Cross-Dataset Person Re-Identification via Unsupervised Pose Disentanglement and Adaptation
• Global-Local Temporal Representations For Video Person Re-Identification
• Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification
• Adaptive Transfer Network for Cross-Domain Person Re-Identification
• Deep Reinforcement Active Learning for Human-In-The-Loop Person Re-Identification
• View Confusion Feature Learning for Person Re-identification
• Spectral Feature Transformation for Person Re-Identification
• Weakly Supervised Person Re-Identification
• Pose-Guided Feature Alignment for Occluded Person Re-Identification
• A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification
• Generalizable Person Re-identification by Domain-Invariant Mapping Network
• Dissecting Person Re-identification from the Viewpoint of Viewpoint
• MVP Matching: A Maximum-value Perfect Matching for Mining Hard Samples, with Application to Person Re-identification
• advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns
• Learning to Reduce Dual-level Discrepancy for Infrared-Visible Person Re-identification
• RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment
• Distilled Person Re-identification: Towards a More Scalable System
• Unsupervised Graph Association for Person Re-identification
• Unsupervised Person Re-Identification by Camera-Aware Similarity Consistency Learning
• Robust Person Re-identification by Modelling Feature Uncertainty
• Unsupervised Person Re-identification by Soft Multilabel Learning
• Self-Training With Progressive Augmentation for Unsupervised Cross-Domain Person Re-Identification
• Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification

18

• A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Ranking
• Adversarially Occluded Samples for Person Re-identification
• Camera Style Adaptation for Person Re-identification
• Deep Group-shuffling Random Walk for Person Re-identification
• Easy Identification from Better Constraints: Multi-Shot Person Re-Identification from Reference Constraints
• Eliminating Background-bias for Robust Person Re-identification
• End-to-End Deep Kronecker-Product Matching for Person Re-identification
• Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning ***
• Exploiting Transitivity for Learning Person Re-identification Models on a Budget
• FeaturesforMulti-TargetMulti-CameraTrackingandRe-Identification
• Group Consistent Similarity Learning via Deep CRF for Person Re-Identification
• Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification
• Multi-shot Pedestrian Re-identification via Sequential Decision Making
• Person Re-identification with Cascaded Pairwise Convolutions
• Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
• Pose Transferrable Person Re-Identification
• Resource Aware Person Re-identification across Multiple Resolutions
• Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification
• Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatial-Temporal Patterns
• Adversarial Open-World Person Re-Identiication
• Domain Adaptation through Synthesis for Unsupervised Person Re-identification
• Hard-Aware Point-to-Set Deep Metric for Person Re-identification
• Maximum Margin Metric Learning Over Discriminative Nullspace for Person Re-identification
• Person Re-identification with Deep Similarity-Guided Graph Neural Network
• Pose-Normalized Image Generation for Person Re-identification
• Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-Identification
• Robust Anchor Embedding for Unsupervised Video Person Re-Identification in the Wild
• Unsupervised Person Re-identification by Deep Learning Tracklet Association