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Person Re-Identification
Person Re-Identification is a computer vision task in which the goal is to match a person's identity across different cameras or locations in a video or image sequence. It involves detecting and tracking a person and then using features such as appearance, body shape, and clothing to match their identity in different frames. The goal is to associate the same person across multiple non-overlapping camera views in a robust and efficient manner.
하위 태스크
UP
Unsupervised Person Re-Identification
GP
Generalizable Person Re-identification
SP
Self-Supervised Person Re-Identification
CP
Cross-Modal Person Re-Identification
CP
Cloth-Changing Person Re-Identification
CC
Clothes Changing Person Re-Identification
DT
Direct Transfer Person Re-identification
FL
Federated Lifelong Person ReID
IP
Image-To-Video Person Re-Identification
LP
Large-Scale Person Re-Identification
OP
Occluded Person Re-Identification
SP
Semi-Supervised Person Re-Identification
VP
Video-Based Person Re-Identification