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03/22/2023
Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification
To address the challenges of long-tailed classification, researchers hav...
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02/06/2023
Bi-level Multi-objective Evolutionary Learning: A Case Study on Multi-task Graph Neural Topology Search
The construction of machine learning models involves many bi-level multi...
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04/07/2022
A Multi-Transformation Evolutionary Framework for Influence Maximization in Social Networks
Influence maximization is a key issue for mining the deep information of...
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03/08/2022
Visual-Language Navigation Pretraining via Prompt-based Environmental Self-exploration
Vision-language navigation (VLN) is a challenging task due to its large ...
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06/10/2020
MultiResolution Attention Extractor for Small Object Detection
Small objects are difficult to detect because of their low resolution an...
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07/11/2019
A Survey of Deep Learning-based Object Detection
Object detection is one of the most important and challenging branches o...
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06/09/2019
Pixel DAG-Recurrent Neural Network for Spectral-Spatial Hyperspectral Image Classification
Exploiting rich spatial and spectral features contributes to improve the...
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06/09/2019
Semi-supervised Complex-valued GAN for Polarimetric SAR Image Classification
Polarimetric synthetic aperture radar (PolSAR) images are widely used in...
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09/05/2018
Modified Diversity of Class Probability Estimation Co-training for Hyperspectral Image Classification
Due to the limited amount and imbalanced classes of labeled training dat...
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09/04/2018
Chi-Square Test Neural Network: A New Binary Classifier based on Backpropagation Neural Network
We introduce the chi-square test neural network: a single hidden layer b...
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07/19/2018