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UFineBench: Towards Text-based Person Retrieval with Ultra-fine Granularity
March 20, 2024, 4:46 a.m. | Jialong Zuo, Hanyu Zhou, Ying Nie, Feng Zhang, Tianyu Guo, Nong Sang, Yunhe Wang, Changxin Gao
cs.CV updates on arXiv.org arxiv.org
Abstract: Existing text-based person retrieval datasets often have relatively coarse-grained text annotations. This hinders the model to comprehend the fine-grained semantics of query texts in real scenarios. To address this problem, we contribute a new benchmark named \textbf{UFineBench} for text-based person retrieval with ultra-fine granularity.
Firstly, we construct a new \textbf{dataset} named UFine6926. We collect a large number of person images and manually annotate each image with two detailed textual descriptions, averaging 80.8 words each. The …
abstract annotations arxiv benchmark construct cs.cv datasets fine-grained person query retrieval semantics text type
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