research
∙
04/20/2023
Clustered-patch Element Connection for Few-shot Learning
Weak feature representation problem has influenced the performance of fe...
share
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
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 ...
research
∙
11/02/2022
