Exploiting shape cues for weakly supervised semantic segmentation

Sungpil Kho; Pilhyeon Lee; Wonyoung Lee; Minsong Ki; Hyeran Byun

doi:10.1016/j.patcog.2022.108953

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Exploiting shape cues for weakly supervised semantic segmentation

Sungpil Kho Pilhyeon Lee Wonyoung Lee Minsong Ki Hyeran Byun

Year: 2022 Journal: Pattern Recognition Vol: 132 Pages: 108953-108953 Publisher: Elsevier BV

DOI: 10.1016/j.patcog.2022.108953

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Keywords:

Computer science Segmentation Artificial intelligence Convolutional neural network Pascal (unit) Discriminative model Pipeline (software) Exploit Pattern recognition (psychology) Locality Property (philosophy) Class (philosophy) Focus (optics) Computer vision

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Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

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

Exploiting shape cues for weakly supervised semantic segmentation

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