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Meta-Learning

694 평가 기록 73 datasets

Meta-learning is a methodology considered with "learning to learn" machine learning algorithms.

<span style="color:grey; opacity: 0.6">( Image credit: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks )</span>

개요전체 데이터셋논문·평가 기록하위 태스크

데이터셋

73개
PASCAL-5i (1-Shot)PASCAL-5i (5-Shot)COCO-20i (1-shot)COCO-20i (5-shot)FSS-1000 (1-shot)FSS-1000 (5-shot)COCO-20i -> Pascal VOC (1-shot)COCO-20i -> Pascal VOC (5-shot)MedConceptsQAChestXEuroSATISIC2018BirdClef 2020 (Pruned)ESC-50FSDKaggle2018NSynthVoxCeleb1CUBCropDiseasePlacesPlantaecarsCOCO-20i (1-shot)COCO-20i (2-way 1-shot)ML10PASCAL-5i (5-Shot)COCO-20i (5-shot)PASCAL-5i (1-Shot)Watkins Marine Mammal SoundsCOCO-20i (10-shot)
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