Aug 4, 2023 · We propose to enhance fine-grained visual features with part-informed language supervision for ReID tasks.

Recently, visual-language learning has shown great potential in enhancing visual-based person re-identification (ReID). Existing visual-language ...

Exploring part-informed visual-language learning for person re-identification. Y Lin, C Liu, Y Chen, J Hu, B Yin, B Yin, Z Wang. arXiv preprint arXiv:2308.02738 ...

Recently, visual-language learning has shown great potential in enhancing visual-based person re-identification (ReID). Human Parsing · Person Re-Identification.

Recently, visual-language learning has shown great potential in enhancing visual-based person re-identification (ReID). Human Parsing · Person Re-Identification.

We propose an image/text-retrieval-based Person ReId method in which both visual and text-based features are exploited to carry out person re-identification.

We propose a Part-based Cross-Modality (PCM) learning framework to explore part features for USVI-ReID.

PI-VL: "Exploring Part-Informed Visual-Language Learning for Person Re-Identification", arXiv, 2023 (iFLYTEK, China). [Paper]; TBPS-CLIP: "An Empirical Study ...

Aug 4, 2023 · Recently, visual-language learning has shown great po- tential in enhancing visual-based person re-identification. (ReID).

This work proposes a novel one-stage text-free CLIP-based learning framework named TF-CLIP for video-based person re-identification (ReID).