Search Results for author:
Found 6 papers, 1 papers with code
Distribution Aligned Semantics Adaption for Lifelong Person Re-Identification
Therefore, the adaptation of Re-ID models to new domains while preserving previously acquired knowledge is crucial, known as Lifelong person Re-IDentification (LReID).
Image-Text-Image Knowledge Transferring for Lifelong Person Re-Identification with Hybrid Clothing States
To tackle the challenges of knowledge granularity mismatch and knowledge presentation mismatch that occurred in LReID-Hybrid, we take advantage of the consistency and generalization of the text space, and propose a novel framework, dubbed $Teata$, to effectively align, transfer and accumulate knowledge in an "image-text-image" closed loop.
Content and Salient Semantics Collaboration for Cloth-Changing Person Re-Identification
Specifically, we propose the Content and Salient Semantics Collaboration (CSSC) framework, facilitating cross-parallel semantics interaction and refinement.
Rethinking Person Re-identification from a Projection-on-Prototypes Perspective
In this paper, we rethink the role of the classifier in person Re-ID, and advocate a new perspective to conceive the classifier as a projection from image features to class prototypes.
Exploring Fine-Grained Representation and Recomposition for Cloth-Changing Person Re-Identification
Images with similar so-called fine-grained attributes (e. g., clothes and viewpoints) are encouraged to cluster together.
Ranked #2 on
Person Re-Identification
on PRCC
(mAP metric)
Co-Attention Aligned Mutual Cross-Attention for Cloth-Changing Person Re-Identification
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.
