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BiOpt: Bi-Level Optimization for Few-Shot Segmentation
Few-shot segmentation is a challenging task that aims to segment objects...
11/23/2020 ∙ by Jinlu Liu, et al. ∙
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Prototype Refinement Network for Few-Shot Segmentation
Few-shot segmentation targets to segment new classes with few annotated ...
02/10/2020 ∙ by Jinlu Liu, et al. ∙
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Fast and Generalized Adaptation for Few-Shot Learning
The ability of fast generalizing to novel tasks from a few examples is c...
11/25/2019 ∙ by Liang Song, et al. ∙
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Prototype Rectification for Few-Shot Learning
Few-shot learning is a challenging problem that requires a model to reco...
11/25/2019 ∙ by Jinlu Liu, et al. ∙
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Hierarchical Attention Networks for Medical Image Segmentation
The medical image is characterized by the inter-class indistinction, hig...
11/20/2019 ∙ by Fei Ding, et al. ∙
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Imagination Based Sample Construction for Zero-Shot Learning
Zero-shot learning (ZSL) which aims to recognize unseen classes with no ...
10/29/2018 ∙ by Gang Yang, et al. ∙
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