SML: Semantic meta-learning for few-shot semantic segmentation☆

Ayyappa Kumar Pambala; Titir Dutta; Soma Biswas

doi:10.1016/j.patrec.2021.03.036

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SML: Semantic meta-learning for few-shot semantic segmentation☆

Ayyappa Kumar Pambala Titir Dutta Soma Biswas

Year: 2021 Journal: Pattern Recognition Letters Vol: 147 Pages: 93-99 Publisher: Elsevier BV

DOI: 10.1016/j.patrec.2021.03.036

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Keywords:

Computer science Segmentation Convolutional neural network Artificial intelligence Machine learning Bottleneck Pascal (unit) Benchmark (surveying) Classifier (UML) Class (philosophy)

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Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Multimodal Machine Learning Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

SML: Semantic meta-learning for few-shot semantic segmentation☆

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Citation History

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