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Visual semantic segmentation aims at separating a visual sample into diverse blocks with specific semantic attributes and identifying the category for each block, and it plays a crucial role in environmental perception.
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G. Tian, S. Wang, J. Feng, L. Zhou, and Y. Mu, “Cap2seg: Inferring semantic and spatial context from captions for zero-shot image segmentation,” in Proceedings of the 28th ACM International Conference on Multimedia , 2020, pp. 4125–4134
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