Few-shot Image Classification using Meta-GAN

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  1. Nikita Demir
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Few-shot Image Classification using Meta-GAN

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OntoZSL: Ontology-enhanced Zero-shot 0:12:33

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Few-shot Segmentation Using 0:05:15

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Attentive Weights Generation for Few Shot Learning via Information Maximization

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CADA-FVAE-GAN: ADVERSARIAL TRAININGFOR FEW-SHOT EVENT DETECTION

Few-shot Object Detection 0:03:39

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What is Zero-Shot 0:08:55

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Adversarial Feature Hallucination 0:01:01

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Few-shot Image Generation 0:02:01

Few-shot Image Generation with Elastic Weight Consolidation

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