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07/07/2023
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification Segmentation
We address the task of weakly-supervised few-shot image classification a...
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11/14/2022
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval
Metric learning aims to build a distance metric typically by learning an...
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03/29/2022
Integrative Few-Shot Learning for Classification and Segmentation
We introduce the integrative task of few-shot classification and segment...
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11/29/2021
Semi-supervised Domain Adaptation via Sample-to-Sample Self-Distillation
Semi-supervised domain adaptation (SSDA) is to adapt a learner to a new ...
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08/22/2021
Relational Embedding for Few-Shot Classification
We propose to address the problem of few-shot classification by meta-lea...
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04/04/2021