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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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03/25/2021
Learning Dynamic Alignment via Meta-filter for Few-shot Learning
Few-shot learning (FSL), which aims to recognise new classes by adapting...
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03/24/2021
Learning Salient Boundary Feature for Anchor-free Temporal Action Localization
Temporal action localization is an important yet challenging task in vid...
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03/26/2020
Instance Credibility Inference for Few-Shot Learning
Few-shot learning (FSL) aims to recognize new objects with extremely lim...
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02/08/2018
Learning to score the figure skating sports videos
This paper targets at learning to score the figure skating sports videos...
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02/08/2018