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07/05/2023
Unsupervised Spectral Demosaicing with Lightweight Spectral Attention Networks
This paper presents a deep learning-based spectral demosaicing technique...
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06/20/2023
Statistical Tests for Replacing Human Decision Makers with Algorithms
This paper proposes a statistical framework with which artificial intell...
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05/06/2023
Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising
Hyperspectral imaging (HI) has emerged as a powerful tool in diverse fie...
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03/23/2023
MSFA-Frequency-Aware Transformer for Hyperspectral Images Demosaicing
Hyperspectral imaging systems that use multispectral filter arrays (MSFA...
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03/23/2023
Inheriting Bayer's Legacy-Joint Remosaicing and Denoising for Quad Bayer Image Sensor
Pixel binning based Quad sensors have emerged as a promising solution to...
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05/07/2022
Sparse Regularized Correlation Filter for UAV Object Tracking with adaptive Contextual Learning and Keyfilter Selection
Recently, correlation filter has been widely applied in unmanned aerial ...
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08/06/2021
TS4Net: Two-Stage Sample Selective Strategy for Rotating Object Detection
Rotating object detection has wide applications in aerial photographs, r...
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11/30/2020
Dynamic Curriculum Learning for Low-Resource Neural Machine Translation
Large amounts of data has made neural machine translation (NMT) a big su...
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05/05/2019
Decision Making with Machine Learning and ROC Curves
The Receiver Operating Characteristic (ROC) curve is a representation of...
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02/15/2019
SVM-based Deep Stacking Networks
The deep network model, with the majority built on neural networks, has ...
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05/25/2018
