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04/12/2021
How Sensitive are Meta-Learners to Dataset Imbalance?
Meta-Learning (ML) has proven to be a useful tool for training Few-Shot ...
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01/07/2021
Few-Shot Learning with Class Imbalance
Few-shot learning aims to train models on a limited number of labeled sa...
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09/16/2020
Similarity-based data mining for online domain adaptation of a sonar ATR system
Due to the expensive nature of field data gathering, the lack of trainin...
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05/10/2020
A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification
Deep convolutional neural networks have shown to perform well in underwa...
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03/02/2020
Unlimited Resolution Image Generation with R2D2-GANs
In this paper we present a novel simulation technique for generating hig...
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10/15/2019
