[WACV 2022] MaskSplit: Self-supervised Meta-learning for Few-shot Semantic Segmentation

[WACV 2022] MaskSplit: Self-supervised Meta-learning for Few-shot Semantic Segmentation

[WACV 2022]LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature SimilarityПодробнее

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[CVPR'22] Integrative Few-Shot Learning for Classification and SegmentationПодробнее

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CVPR2022 《XMP-Font: Self-Supervised Cross-Modality Pre-training for Few-Shot Font Generation》Подробнее

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Leopart: Self-Supervised Learning of Object Parts for Semantic SegmentationПодробнее

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[WACV 2022] A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic SegmentationПодробнее

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Learning What Not To Segment: A New Perspective on Few Shot Segmentation | CVPR 2022Подробнее

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Trapit Bansal: Few-Shot Natural Language Processing via Self-Supervised Meta-LearningПодробнее

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Adaptive Prototype Learning and Allocation for Few-Shot Segmentation (CVPR 2021)Подробнее

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Few-Shot Learning of Part-Specific Probability Space for 3D Shape SegmentationПодробнее

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SST: Self-Supervised Generative Style Transfer for One-Shot Medical Image SegmentationПодробнее

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Enhancing Few-Shot Image Classification with Unlabelled Examples - WACV 2022 Algorithm TrackПодробнее

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Qutrit-inspired Fully Self-supervised Shallow Quantum Learning Network for Image SegmentationПодробнее

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Task Discrepancy Maximization for Fine Grained Few Shot Classification | CVPR 2022Подробнее

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