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11/01/2022
Why Is It Hate Speech? Masked Rationale Prediction for Explainable Hate Speech Detection
In a hate speech detection model, we should consider two critical aspect...
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04/20/2021
What is Wrong with One-Class Anomaly Detection?
From a safety perspective, a machine learning method embedded in real-wo...
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09/30/2020
Restoring Spatially-Heterogeneous Distortions using Mixture of Experts Network
In recent years, deep learning-based methods have been successfully appl...
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04/23/2020
SimUSR: A Simple but Strong Baseline for Unsupervised Image Super-resolution
In this paper, we tackle a fully unsupervised super-resolution problem, ...
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04/01/2020
Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy
Data augmentation is an effective way to improve the performance of deep...
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03/06/2019
Photo-realistic Image Super-resolution with Fast and Lightweight Cascading Residual Network
Recent progress in the deep learning-based models has improved single-im...
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05/28/2018
Image Distortion Detection using Convolutional Neural Network
Image distortion classification and detection is an important task in ma...
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03/23/2018
Fast, Accurate, and, Lightweight Super-Resolution with Cascading Residual Network
In recent years, deep learning methods have been successfully applied to...
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10/23/2017
Investigating the feature collection for semantic segmentation via single skip connection
Since the study of deep convolutional neural network became prevalent, o...
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10/18/2017
Enhancing the Performance of Convolutional Neural Networks on Quality Degraded Datasets
Despite the appeal of deep neural networks that largely replace the trad...
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11/13/2008