An Improved Method for Zero-Shot Semantic Segmentation

Zero-shot semantic segmentation continues to face challenges in effectively handling unseen object classes, despite its critical applications in medical imaging, autonomous driving, and aerial imagery. This paper introduces a hybrid approach that combines three key components: a Swin Transformer bac...

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Bibliografiske detaljer

Principais autores:	Kong Kuok Yong, Tan Fong Ang, Chin Soon Ku, Firdaus Sahran, Lip Yee Por
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2025-01-01
Serier:	IEEE Access
Fag:	Semantic segmentation zero-shot visual transformer clip swim transformer
Online adgang:	https://ieeexplore.ieee.org/document/11141424/
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