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04/20/2023
Clustered-patch Element Connection for Few-shot Learning
Weak feature representation problem has influenced the performance of fe...
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01/06/2023
Exploring Efficient Few-shot Adaptation for Vision Transformers
The task of Few-shot Learning (FSL) aims to do the inference on novel ca...
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11/30/2022
Split-PU: Hardness-aware Training Strategy for Positive-Unlabeled Learning
Positive-Unlabeled (PU) learning aims to learn a model with rare positiv...
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11/29/2022
PatchMix Augmentation to Identify Causal Features in Few-shot Learning
The task of Few-shot learning (FSL) aims to transfer the knowledge learn...
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11/02/2022
Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective
Few-shot learning problem focuses on recognizing unseen classes given a ...
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11/02/2022