Atrous convolutional feature network for weakly supervised semantic segmentation

Lian Xu; Hao Xue; Mohammed Bennamoun; Farid Boussaïd; Ferdous Sohel

doi:10.1016/j.neucom.2020.09.045

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Atrous convolutional feature network for weakly supervised semantic segmentation

Lian Xu Hao Xue Mohammed Bennamoun Farid Boussaïd Ferdous Sohel

Year: 2020 Journal: Neurocomputing Vol: 421 Pages: 115-126 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2020.09.045

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Keywords:

Pattern recognition (psychology) Artificial intelligence Convolutional neural network Computer science Segmentation Pascal (unit) Feature extraction Feature (linguistics) Fuse (electrical) Pixel Context (archaeology)

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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

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Atrous convolutional feature network for weakly supervised semantic segmentation

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