Papers Cross-Modality Person Re-identification
“Cross-Modality Person Re-identification” 태그가 달린 논문 26편 · 필터 해제
Mix-Modality Person Re-Identification: A New and Practical Paradigm
Current visible-infrared cross-modality person re-identification research has only focused on exploring the bi-modality mutual retrieval paradigm, and we propose a new and more practical mix-modality retrieval paradigm. …
Cross-Modality Person Re-identificationPerson Re-IdentificationRetrievalUnsupervised Visible-Infrared ReID via Pseudo-label Correction and Modality-level Alignment
Unsupervised visible-infrared person re-identification (UVI-ReID) has recently gained great attention due to its potential for enhancing human detection in diverse environments without labeling. Previous methods utilize …
ClusteringContrastive LearningCross-Modality Person Re-identificationHuman Detection+2High-Order Structure Based Middle-Feature Learning for Visible-Infrared Person Re-Identification
Visible-infrared person re-identification (VI-ReID) aims to retrieve images of the same persons captured by visible (VIS) and infrared (IR) cameras. Existing VI-ReID methods ignore high-order structure information of fea…
Cross-Modality Person Re-identificationPerson Re-IdentificationBridging the Gap: Multi-Level Cross-Modality Joint Alignment for Visible-Infrared Person Re-Identification
Visible-Infrared person Re-IDentification (VI-ReID) is a challenging cross-modality image retrieval task that aims to match pedestrians' images across visible and infrared cameras. To solve the modality gap, existing mai…
Cross-Modality Person Re-identificationimage-classificationImage ClassificationImage Retrieval+3Learning Memory-Augmented Unidirectional Metrics for Cross-Modality Person Re-Identification
This paper tackles the cross-modality person re-identification (re-ID) problem by suppressing the modality discrepancy. In cross-modality re-ID, the query and gallery images are in different modalities. Given a train…
Cross-Modality Person Re-identificationPerson Re-IdentificationSelf-Supervised Modality-Aware Multiple Granularity Pre-Training for RGB-Infrared Person Re-Identification
RGB-Infrared person re-identification (RGB-IR ReID) aims to associate people across disjoint RGB and IR camera views. Currently, state-of-the-art performance of RGB-IR ReID is not as impressive as that of conventional Re…
Contrastive LearningCross-Modality Person Re-identificationImage RetrievalPerson Re-Identification+1MSO: Multi-Feature Space Joint Optimization Network for RGB-Infrared Person Re-Identification
The RGB-infrared cross-modality person re-identification (ReID) task aims to recognize the images of the same identity between the visible modality and the infrared modality. Existing methods mainly use a two-stream arch…
Cross-Modality Person Re-identificationPerson Re-IdentificationCMTR: Cross-modality Transformer for Visible-infrared Person Re-identification
Visible-infrared cross-modality person re-identification is a challenging ReID task, which aims to retrieve and match the same identity's images between the heterogeneous visible and infrared modalities. Thus, the core o…
Cross-Modality Person Re-identificationPerson Re-IdentificationExploring Modality-shared Appearance Features and Modality-invariant Relation Features for Cross-modality Person Re-Identification
Most existing cross-modality person re-identification works rely on discriminative modality-shared features for reducing cross-modality variations and intra-modality variations. Despite some initial success, such modalit…
Cross-Modality Person Re-identificationPerson Re-IdentificationFarewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification
The Information Bottleneck (IB) provides an information theoretic principle for representation learning, by retaining all information relevant for predicting label while minimizing the redundancy. Though IB principle has…
Cross-Modality Person Re-identificationCross-Modal Person Re-IdentificationCross-Modal Person Re-IdentificationMULTI-VIEW LEARNING+2DF^2AM: Dual-level Feature Fusion and Affinity Modeling for RGB-Infrared Cross-modality Person Re-identification
RGB-infrared person re-identification is a challenging task due to the intra-class variations and cross-modality discrepancy. Existing works mainly focus on learning modality-shared global representations by aligning ima…
Cross-Modality Person Re-identificationPerson Re-IdentificationLeaning Compact and Representative Features for Cross-Modality Person Re-Identification
This paper pays close attention to the cross-modality visible-infrared person re-identification (VI Re-ID) task, which aims to match pedestrian samples between visible and infrared modes. In order to reduce the modality-…
Cross-Modality Person Re-identificationKnowledge DistillationPerson Re-IdentificationTripletBridging the Distribution Gap of Visible-Infrared Person Re-identification with Modality Batch Normalization
Visible-infrared cross-modality person re-identification (VI-ReID), whose aim is to match person images between visible and infrared modality, is a challenging cross-modality image retrieval task. Most existing works int…
Cross-Modality Person Re-identificationImage RetrievalPerson Re-IdentificationRetrievalUnified Batch All Triplet Loss for Visible-Infrared Person Re-identification
Visible-Infrared cross-modality person re-identification (VI-ReID), whose aim is to match person images between visible and infrared modality, is a challenging cross-modality image retrieval task. Batch Hard Triplet loss…
AllCross-Modality Person Re-identificationImage RetrievalPerson Re-Identification+2Cross-Modality Person Re-Identification via Modality Confusion and Center Aggregation
Cross-modality person re-identification is a challenging task due to large cross-modality discrepancy and intra-modality variations. Currently, most existing methods focus on learning modality-specific or modality-sh…
Cross-Modality Person Re-identificationDiversityPerson Re-IdentificationParameter Sharing Exploration and Hetero-Center based Triplet Loss for Visible-Thermal Person Re-Identification
This paper focuses on the visible-thermal cross-modality person re-identification (VT Re-ID) task, whose goal is to match person images between the daytime visible modality and the nighttime thermal modality. The two-str…
Cross-Modality Person Re-identificationCross-Modal Person Re-IdentificationPerson Re-IdentificationTripletA Similarity Inference Metric for RGB-Infrared Cross-Modality Person Re-identification
RGB-Infrared (IR) cross-modality person re-identification (re-ID), which aims to search an IR image in RGB gallery or vice versa, is a challenging task due to the large discrepancy between IR and RGB modalities. Existing…
Cross-Modality Person Re-identificationPerson Re-IdentificationCross-Spectrum Dual-Subspace Pairing for RGB-infrared Cross-Modality Person Re-Identification
Due to its potential wide applications in video surveillance and other computer vision tasks like tracking, person re-identification (ReID) has become popular and been widely investigated. However, conventional person re…
Cross-Modality Person Re-identificationImage GenerationPerson Re-IdentificationCross-modality Person re-identification with Shared-Specific Feature Transfer
Cross-modality person re-identification (cm-ReID) is a challenging but key technology for intelligent video analysis. Existing works mainly focus on learning common representation by embedding different modalities into a…
Cross-Modality Person Re-identificationPerson Re-IdentificationAttend to the Difference: Cross-Modality Person Re-identification via Contrastive Correlation
The problem of cross-modality person re-identification has been receiving increasing attention recently, due to its practical significance. Motivated by the fact that human usually attend to the difference when they comp…
Cross-Modality Person Re-identificationPerson Re-Identification