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Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning
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Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification
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2020
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Learning to Forget for Meta-Learning
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Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions
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Task Agnostic Meta-Learning for Few-Shot Learning
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Pareto Self-Supervised Training for Few-Shot Learning
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Meta-Learning With Differentiable Convex Optimization
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Associative Alignment for Few-Shot Image Classification
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2020
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DoveNet: Deep Image Harmonization via Domain Verification
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Rethinking Few-Shot Image Classification: A Good Embedding is All You Need?
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Few-Shot Learning With Global Class Representations
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Negative Margin Matters: Understanding Margin in Few-Shot Classification
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