Jan. 31, 2024, 3:42 p.m. | Tianheng Cheng Lin Song Yixiao Ge Wenyu Liu Xinggang Wang Ying Shan

cs.CV updates on arXiv.org arxiv.org

The You Only Look Once (YOLO) series of detectors have established themselves as efficient and practical tools. However, their reliance on predefined and trained object categories limits their applicability in open scenarios. Addressing this limitation, we introduce YOLO-World, an innovative approach that enhances YOLO with open-vocabulary detection capabilities through vision-language modeling and pre-training on large-scale datasets. Specifically, we propose a new Re-parameterizable Vision-Language Path Aggregation Network (RepVL-PAN) and region-text contrastive loss to facilitate the interaction between visual and linguistic information. …

capabilities cs.cv detection language look modeling practical pre-training real-time reliance scale series through tools training vision world yolo

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