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Cloth-Changing Person Re-Identification
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
See What You Seek: Semantic Contextual Integration for Cloth-Changing Person Re-Identification
Multiple Information Prompt Learning for Cloth-Changing Person Re-Identification
CCUP: A Controllable Synthetic Data Generation Pipeline for Pretraining Cloth-Changing Person Re-Identification Models
Accelerating Flood Warnings by 10 Hours: The Power of River Network Topology in AI-enhanced Flood Forecasting
Learning to Balance: Diverse Normalization for Cloth-Changing Person Re-Identification
Features Reconstruction Disentanglement Cloth-Changing Person Re-Identification
CLIP-Driven Cloth-Agnostic Feature Learning for Cloth-Changing Person Re-Identification
Content and Salient Semantics Collaboration for Cloth-Changing Person Re-Identification
Identity-aware Dual-constraint Network for Cloth-Changing Person Re-identification
OC4-ReID: Occluded Cloth-Changing Person Re-Identification
Attention-based Shape and Gait Representations Learning for Video-based Cloth-Changing Person Re-Identification
Masked Attribute Description Embedding for Cloth-Changing Person Re-identification
Exploring Shape Embedding for Cloth-Changing Person Re-Identification via 2D-3D Correspondences
Semantic-aware Consistency Network for Cloth-changing Person Re-Identification
Exploring Fine-Grained Representation and Recomposition for Cloth-Changing Person Re-Identification
Specialized Re-Ranking: A Novel Retrieval-Verification Framework for Cloth Changing Person Re-Identification
Identity-Sensitive Knowledge Propagation for Cloth-Changing Person Re-identification
A Semantic-aware Attention and Visual Shielding Network for Cloth-changing Person Re-identification
Multigranular Visual-Semantic Embedding for Cloth-Changing Person Re-identification
Semantic-guided Pixel Sampling for Cloth-Changing Person Re-identification
Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularization
Long-Term Cloth-Changing Person Re-identification
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.