Cloth-Changing Person Re-Identification
10 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Cloth-Changing Person Re-Identification
Most implemented papers
Temporal 3D Shape Modeling for Video-Based Cloth-Changing Person Re-Identification
dustin-nguyen-qil/SEMI_VCCReID
•
•
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops 2024
In this work, we propose "Temporal 3D ShapE Modeling for VCCRe-ID" (SEMI), a lightweight end-to-end framework that addresses these issues by learning human 3D shape representations.
Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularization
jinx-USTC/GI-ReID
•
•
CVPR 2022
Specifically, we introduce Gait recognition as an auxiliary task to drive the Image ReID model to learn cloth-agnostic representations by leveraging personal unique and cloth-independent gait information, we name this framework as GI-ReID.
Semantic-guided Pixel Sampling for Cloth-Changing Person Re-identification
The key to this task is to exploit cloth-irrelevant cues.
Identity-Sensitive Knowledge Propagation for Cloth-Changing Person Re-identification
To mitigate the resolution degradation issue and mine identity-sensitive cues from human faces, we propose to restore the missing facial details using prior facial knowledge, which is then propagated to a smaller network.
Good Is Bad: Causality Inspired Cloth-Debiasing for Cloth-Changing Person Re-Identification
boomshakay/aim-ccreid
•
•
CVPR 2023
Entangled representation of clothing and identity (ID)-intrinsic clues are potentially concomitant in conventional person Re-IDentification (ReID).
Co-Attention Aligned Mutual Cross-Attention for Cloth-Changing Person Re-Identification
QizaoWang/CAMC-CCReID
•
•
Asian Conference on Computer Vision (ACCV) 2023
In this paper, we first design a novel Shape Semantics Embedding (SSE) module to encode body shape semantic information, which is one of the essential clues to distinguish pedestrians when their clothes change.
Semantic-aware Consistency Network for Cloth-changing Person Re-Identification
gpn-star/scnet
•
•
Despite recent progress in CC-ReID, existing approaches are still hindered by the interference of clothing variations since they lack effective constraints to keep the model consistently focused on clothing-irrelevant regions.
Contrastive Viewpoint-aware Shape Learning for Long-term Person Re-Identification
jurgendn/CVSL_LReID
•
•
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2024
In this paper, we propose "Contrastive Viewpoint-aware Shape Learning for Long-term Person Re-Identification" (CVSL) to address these challenges.
Masked Attribute Description Embedding for Cloth-Changing Person Re-identification
moon-wh/made
•
•
To address this, we mask the clothing and color information in the personal attribute description extracted through an attribute detection model.
Occluded Cloth-Changing Person Re-Identification
We define cloth-changing person re-identification in occlusion scenarios as occluded cloth-changing person re-identification (Occ-CC-ReID), and to the best of our knowledge, we are the first to propose occluded cloth-changing person re-identification as a new task.
