Feb. 9, 2024, 5:46 a.m. | Ying Zang Chenglong Fu Runlong Cao Didi Zhu Min Zhang Wenjun Hu Lanyun Zhu Tianrun Chen

cs.CV updates on arXiv.org arxiv.org

Referring expression segmentation (RES), a task that involves localizing specific instance-level objects based on free-form linguistic descriptions, has emerged as a crucial frontier in human-AI interaction. It demands an intricate understanding of both visual and textual contexts and often requires extensive training data. This paper introduces RESMatch, the first semi-supervised learning (SSL) approach for RES, aimed at reducing reliance on exhaustive data annotation. Extensive validation on multiple RES datasets demonstrates that RESMatch significantly outperforms baseline approaches, establishing a new state-of-the-art. …

cs.cv data form free human instance objects paper segmentation semi-supervised semi-supervised learning ssl supervised learning textual training training data understanding visual

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