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03/19/2023
SIESTA: Efficient Online Continual Learning with Sleep
In supervised continual learning, a deep neural network (DNN) is updated...
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10/30/2019
Are Out-of-Distribution Detection Methods Effective on Large-Scale Datasets?
Supervised classification methods often assume the train and test data d...
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04/01/2018
EarthMapper: A Tool Box for the Semantic Segmentation of Remote Sensing Imagery
Deep learning continues to push state-of-the-art performance for the sem...
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03/26/2018
Low-Shot Learning for the Semantic Segmentation of Remote Sensing Imagery
Recent advances in computer vision using deep learning with RGB imagery ...
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02/21/2018
Continual Lifelong Learning with Neural Networks: A Review
Humans and animals have the ability to continually acquire and fine-tune...
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11/28/2017
FearNet: Brain-Inspired Model for Incremental Learning
Incremental class learning involves sequentially learning classes in bur...
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08/07/2017
Measuring Catastrophic Forgetting in Neural Networks
Deep neural networks are used in many state-of-the-art systems for machi...
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03/19/2017
Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning
Deep convolutional neural networks (DCNNs) have been used to achieve sta...
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03/06/2017