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A Multiscale Graph Convolutional Network for Change Detection in Homogeneous and Heterogeneous Remote Sensing Images
Change detection (CD) in remote sensing images has been an ever-expandin...
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CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation
NLP models are shown to suffer from robustness issues, i.e., a model's p...
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Deflecting Adversarial Attacks
There has been an ongoing cycle where stronger defenses against adversar...
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Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions
Adversarial examples raise questions about whether neural network models...
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Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition
Adversarial examples are inputs to machine learning models designed by a...
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Transceiver Design for Ambient Backscatter Communication over Frequency-Selective Channels
Existing studies about ambient backscatter communication mostly assume f...
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Tensor Alignment based Domain Adaptation for Hyperspectral Image Classification
This paper presents a tensor alignment (TA) based domain adaptation meth...
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Cross-Domain Collaborative Learning via Cluster Canonical Correlation Analysis and Random Walker for Hyperspectral Image Classification
This paper introduces a novel heterogenous domain adaptation (HDA) metho...
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Autofocus Layer for Semantic Segmentation
We propose the autofocus convolutional layer for semantic segmentation w...
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Hierarchical Cellular Automata for Visual Saliency
Saliency detection, finding the most important parts of an image, has be...
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A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
The Nonlinear autoregressive exogenous (NARX) model, which predicts the ...
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