MR-Former: Improving universal image segmentation via refined masked-attention transformer

Mask-based universal image segmentation architectures, which focus attention within the mask region, have significantly enhanced both segmentation accuracy and speed, becoming a key component of universal image segmentation frameworks. However, existing methods often generate masks from the predicte...

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Detalhes bibliográficos

Principais autores:	Xingliang Zhu, Weiwei Yu, Xiaoyu Dong, Wei Zhang, Bin Kong
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2025-11-01
Colecção:	Alexandria Engineering Journal
Assuntos:	Universal image segmentation Masked transformer Refined masked attention
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S1110016825010361
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