Reducing semantic ambiguity in domain adaptive semantic segmentation via probabilistic prototypical pixel contrast

Xiaoke Hao; Shiyu Liu; Chuanbo Feng; Ye Zhu

doi:10.1016/j.neunet.2024.106806

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Reducing semantic ambiguity in domain adaptive semantic segmentation via probabilistic prototypical pixel contrast

Xiaoke Hao Shiyu Liu Chuanbo Feng Ye Zhu

Year: 2024 Journal: Neural Networks Vol: 181 Pages: 106806-106806 Publisher: Elsevier BV

DOI: 10.1016/j.neunet.2024.106806

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Keywords:

Ambiguity Computer science Artificial intelligence Segmentation Contrast (vision) Probabilistic logic Pattern recognition (psychology) Domain (mathematical analysis) Probabilistic latent semantic analysis Pixel Computer vision Natural language processing Mathematics

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Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Multimodal Machine Learning Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

COVID-19 diagnosis using AI

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Reducing semantic ambiguity in domain adaptive semantic segmentation via probabilistic prototypical pixel contrast

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