Papers Cloth-Changing Person Re-Identification
“Cloth-Changing Person Re-Identification” 태그가 달린 논문 28편 · 필터 해제
TSDW: A Tri-Stream Dynamic Weight Network for Cloth-Changing Person Re-Identification
Cloth-Changing Person Re-identification (CC-ReID) aims to solve the challenge of identifying individuals across different temporal-spatial scenarios, viewpoints, and clothing variations. This field is gaining increasing …
Cloth-Changing Person Re-IdentificationFace RecognitionPerson Re-IdentificationSee What You Seek: Semantic Contextual Integration for Cloth-Changing Person Re-Identification
Cloth-changing person re-identification (CC-ReID) aims to match individuals across surveillance cameras despite variations in clothing. Existing methods typically mitigate the impact of clothing changes or enhance identi…
Cloth-Changing Person Re-IdentificationPerson Re-IdentificationPrompt LearningMultiple Information Prompt Learning for Cloth-Changing Person Re-Identification
Cloth-changing person re-identification is a subject closer to the real world, which focuses on solving the problem of person re-identification after pedestrians change clothes. The primary challenge in this field is to …
Cloth-Changing Person Re-IdentificationPerson Re-IdentificationPrompt LearningCCUP: A Controllable Synthetic Data Generation Pipeline for Pretraining Cloth-Changing Person Re-Identification Models
Cloth-changing person re-identification (CC-ReID), also known as Long-Term Person Re-Identification (LT-ReID) is a critical and challenging research topic in computer vision that has recently garnered significant attenti…
Cloth-Changing Person Re-IdentificationPerson Re-IdentificationSynthetic Data GenerationAccelerating Flood Warnings by 10 Hours: The Power of River Network Topology in AI-enhanced Flood Forecasting
Climate change-driven floods demand advanced forecasting models, yet Graph Neural Networks (GNNs) underutilize river network topology due to tree-like structures causing over-squashing from high node resistance distances…
Cloth-Changing Person Re-IdentificationDensity Ratio EstimationFeature CorrelationPerson Re-IdentificationLearning to Balance: Diverse Normalization for Cloth-Changing Person Re-Identification
Cloth-Changing Person Re-Identification (CC-ReID) involves recognizing individuals in images regardless of clothing status. In this paper, we empirically and experimentally demonstrate that completely eliminating or full…
Cloth-Changing Person Re-IdentificationPerson Re-IdentificationFeatures Reconstruction Disentanglement Cloth-Changing Person Re-Identification
Cloth-changing person re-identification (CC-ReID) aims to retrieve specific pedestrians in a cloth-changing scenario. Its main challenge is to disentangle the clothing-related and clothing-unrelated features. Most existi…
Cloth-Changing Person Re-IdentificationDisentanglementHuman ParsingPerson Re-IdentificationCLIP-Driven Cloth-Agnostic Feature Learning for Cloth-Changing Person Re-Identification
Contrastive Language-Image Pre-Training (CLIP) has shown impressive performance in short-term Person Re-Identification (ReID) due to its ability to extract high-level semantic features of pedestrians, yet its direct appl…
Cloth-Changing Person Re-IdentificationPerson Re-IdentificationContent and Salient Semantics Collaboration for Cloth-Changing Person Re-Identification
Cloth-changing person Re-IDentification (Re-ID) aims at recognizing the same person with clothing changes across non-overlapping cameras. Conventional person Re-ID methods usually bias the model's focus on cloth-related …
Cloth-Changing Person Re-IdentificationPerson Re-IdentificationOC4-ReID: Occluded Cloth-Changing Person Re-Identification
The study of Cloth-Changing Person Re-identification (CC-ReID) focuses on retrieving specific pedestrians when their clothing has changed, typically under the assumption that the entire pedestrian images are visible. Ped…
Cloth-Changing Person Re-IdentificationPerson Re-IdentificationTripletIdentity-aware Dual-constraint Network for Cloth-Changing Person Re-identification
Cloth-Changing Person Re-Identification (CC-ReID) aims to accurately identify the target person in more realistic surveillance scenarios, where pedestrians usually change their clothing. Despite great progress, limited c…
Cloth-Changing Person Re-IdentificationcounterfactualPerson Re-IdentificationAttention-based Shape and Gait Representations Learning for Video-based Cloth-Changing Person Re-Identification
Current state-of-the-art Video-based Person Re-Identification (Re-ID) primarily relies on appearance features extracted by deep learning models. These methods are not applicable for long-term analysis in real-world scena…
Cloth-Changing Person Re-IdentificationGraph AttentionPerson Re-IdentificationVideo-Based Person Re-IdentificationMasked Attribute Description Embedding for Cloth-Changing Person Re-identification
Cloth-changing person re-identification (CC-ReID) aims to match persons who change clothes over long periods. The key challenge in CC-ReID is to extract clothing-independent features, such as face, hairstyle, body shape,…
AttributeCloth-Changing Person Re-IdentificationPerson Re-IdentificationTemporal 3D Shape Modeling for Video-Based Cloth-Changing Person Re-Identification
Video-based Cloth-Changing Person Re-ID (VCCRe-ID) refers to a real-world Re-ID problem where texture information like appearance or clothing becomes unreliable in long-term, limiting the applicability of traditional Re-…
3D Shape ModelingCloth-Changing Person Re-IdentificationPerson Re-IdentificationContrastive Viewpoint-aware Shape Learning for Long-term Person Re-Identification
Traditional approaches for Person Re-identification (Re-ID) rely heavily on modeling the appearance of persons. This measure is unreliable over longer durations due to the possibility for changes in clothing or biometric…
Cloth-Changing Person Re-IdentificationContrastive LearningGraph AttentionPerson Re-IdentificationExploring Shape Embedding for Cloth-Changing Person Re-Identification via 2D-3D Correspondences
Cloth-Changing Person Re-Identification (CC-ReID) is a common and realistic problem since fashion constantly changes over time and people's aesthetic preferences are not set in stone. While most existing cloth-changing R…
Cloth-Changing Person Re-IdentificationPerson Re-IdentificationSemantic-aware Consistency Network for Cloth-changing Person Re-Identification
Cloth-changing Person Re-Identification (CC-ReID) is a challenging task that aims to retrieve the target person across multiple surveillance cameras when clothing changes might happen. Despite recent progress in CC-ReID,…
Cloth-Changing Person Re-IdentificationPerson Re-IdentificationExploring Fine-Grained Representation and Recomposition for Cloth-Changing Person Re-Identification
Cloth-changing person Re-IDentification (Re-ID) is a particularly challenging task, suffering from two limitations of inferior discriminative features and limited training samples. Existing methods mainly leverage auxili…
AttributeCloth-Changing Person Re-IdentificationClothes Changing Person Re-Identificationerson Re-Identification+3Co-Attention Aligned Mutual Cross-Attention for Cloth-Changing Person Re-Identification
Person re-identification (Re-ID) has been widely studied and achieved significant progress. However, traditional person Re-ID methods primarily rely on cloth-related color appearance, which is unreliable under real-world…
Cloth-Changing Person Re-IdentificationPerson Re-IdentificationPerson RetrievalRetrievalGood Is Bad: Causality Inspired Cloth-Debiasing for Cloth-Changing Person Re-Identification
Entangled representation of clothing and identity (ID)-intrinsic clues are potentially concomitant in conventional person Re-IDentification (ReID). Nevertheless, eliminating the negative impact of clothing on ID rema…
Cloth-Changing Person Re-IdentificationPerson Re-Identification