https://github.com/WangTaoAs/PFD_Net
공식 코드Pose-guided Feature Disentangling for Occluded Person Re-identification Based on Transformer
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Occluded Person Re-Identification (ReID) is a person retrieval task closely related to Person Re-Identification that involves matching occluded individuals based on their appearance.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Pose-guided Feature Disentangling for Occluded Person Re-identification Based on Transformer
Feature Erasing and Diffusion Network for Occluded Person Re-Identification
Dynamic Feature Pruning and Consolidation for Occluded Person Re-Identification
ProFD: Prompt-Guided Feature Disentangling for Occluded Person Re-Identification
Part Representation Learning with Teacher-Student Decoder for Occluded Person Re-identification
MHSA-Net: Multi-Head Self-Attention Network for Occluded Person Re-Identification
Pose-guided Inter- and Intra-part Relational Transformer for Occluded Person Re-Identification
Parallel Augmentation and Dual Enhancement for Occluded Person Re-identification
Erasing, Transforming, and Noising Defense Network for Occluded Person Re-Identification
Multi-view Information Integration and Propagation for Occluded Person Re-identification
Dynamic Prototype Mask for Occluded Person Re-Identification
Body Part-Based Representation Learning for Occluded Person Re-Identification
High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification
Learning Feature Recovery Transformer for Occluded Person Re-identification
Dynamic Prototype Mask for Occluded Person Re-Identification
Body Part-Based Representation Learning for Occluded Person Re-Identification
High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.