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11/28/2021
CHARTER: heatmap-based multi-type chart data extraction
The digital conversion of information stored in documents is a great sou...
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04/20/2021
Detector-Free Weakly Supervised Grounding by Separation
Nowadays, there is an abundance of data involving images and surrounding...
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03/15/2020
StarNet: towards weakly supervised few-shot detection and explainable few-shot classification
In this paper, we propose a new few-shot learning method called StarNet,...
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02/26/2019
LaSO: Label-Set Operations networks for multi-label few-shot learning
Example synthesis is one of the leading methods to tackle the problem of...
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06/12/2018
Delta-encoder: an effective sample synthesis method for few-shot object recognition
Learning to classify new categories based on just one or a few examples ...
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06/12/2018
RepMet: Representative-based metric learning for classification and one-shot object detection
Distance metric learning (DML) has been successfully applied to object c...
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11/28/2013
Spatially-Adaptive Reconstruction in Computed Tomography using Neural Networks
We propose a supervised machine learning approach for boosting existing ...
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04/25/2010
