Regularized Loss for Weakly Supervised Single Class Semantic Segmentation

Olga Veksler

doi:10.1007/978-3-030-58526-6_21

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Regularized Loss for Weakly Supervised Single Class Semantic Segmentation

Olga Veksler

Year: 2020 Lecture notes in computer science Pages: 348-365 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-58526-6_21

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Keywords:

Segmentation Computer science Ground truth Artificial intelligence Class (philosophy) Object (grammar) Pattern recognition (psychology) Function (biology) Supervised learning Machine learning Artificial neural network

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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

Visual Attention and Saliency Detection

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Regularized Loss for Weakly Supervised Single Class Semantic Segmentation

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