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09/04/2023
Adapting Classifiers To Changing Class Priors During Deployment
Conventional classifiers are trained and evaluated using balanced data s...
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08/03/2023
Improving Replay Sample Selection and Storage for Less Forgetting in Continual Learning
Continual learning seeks to enable deep learners to train on a series of...
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01/22/2022
Background Invariant Classification on Infrared Imagery by Data Efficient Training and Reducing Bias in CNNs
Even though convolutional neural networks can classify objects in images...
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05/21/2021
Compressing Deep CNNs using Basis Representation and Spectral Fine-tuning
We propose an efficient and straightforward method for compressing deep ...
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08/18/2020
Multiple View Generation and Classification of Mid-wave Infrared Images using Deep Learning
We propose a novel study of generating unseen arbitrary viewpoints for i...
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11/19/2019
Attention Guided Anomaly Detection and Localization in Images
Anomaly detection and localization is a popular computer vision problem ...
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06/11/2019
