March 12, 2024, 4:48 a.m. | Muhammad Saif Ullah Khan, Muhammad Ferjad Naeem, Federico Tombari, Luc Van Gool, Didier Stricker, Muhammad Zeshan Afzal

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.06904v1 Announce Type: new
Abstract: We propose FocusCLIP, integrating subject-level guidance--a specialized mechanism for target-specific supervision--into the CLIP framework for improved zero-shot transfer on human-centric tasks. Our novel contributions enhance CLIP on both the vision and text sides. On the vision side, we incorporate ROI heatmaps emulating human visual attention mechanisms to emphasize subject-relevant image regions. On the text side, we introduce human pose descriptions to provide rich contextual information. For human-centric tasks, FocusCLIP is trained with images from the …

abstract arxiv attention clip cs.cv framework guidance human human-centric multimodal novel roi supervision tasks text transfer type vision visual visual attention zero-shot

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