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09/06/2023
Rethinking Momentum Knowledge Distillation in Online Continual Learning
Online Continual Learning (OCL) addresses the problem of training neural...
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09/01/2023
New metrics for analyzing continual learners
Deep neural networks have shown remarkable performance when trained on i...
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08/14/2023
BSED: Baseline Shapley-Based Explainable Detector
Explainable artificial intelligence (XAI) has witnessed significant adva...
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06/15/2023
Personalized Image Enhancement Featuring Masked Style Modeling
We address personalized image enhancement in this study, where we enhanc...
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06/15/2023
Crowd-Powered Photo Enhancement Featuring an Active Learning Based Local Filter
In this study, we address local photo enhancement to improve the aesthet...
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05/23/2023
Online Open-set Semi-supervised Object Detection via Semi-supervised Outlier Filtering
Open-set semi-supervised object detection (OSSOD) methods aim to utilize...
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03/14/2023
MetaMixer: A Regularization Strategy for Online Knowledge Distillation
Online knowledge distillation (KD) has received increasing attention in ...
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02/09/2023
Toward Extremely Lightweight Distracted Driver Recognition With Distillation-Based Neural Architecture Search and Knowledge Transfer
The number of traffic accidents has been continuously increasing in rece...
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12/27/2022
Semi-supervised Fashion Compatibility Prediction by Color Distortion Prediction
Supervised learning methods have been suffering from the fact that a lar...
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12/27/2022
Attribute-Guided Multi-Level Attention Network for Fine-Grained Fashion Retrieval
This paper proposes an attribute-guided multi-level attention network (A...
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09/06/2022
Improving Robustness to Out-of-Distribution Data by Frequency-based Augmentation
Although Convolutional Neural Networks (CNNs) have high accuracy in imag...
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08/16/2022
Prediction of Seismic Intensity Distributions Using Neural Networks
The ground motion prediction equation is commonly used to predict the se...
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06/25/2022
SAT: Self-adaptive training for fashion compatibility prediction
This paper presents a self-adaptive training (SAT) model for fashion com...
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05/29/2022
Superclass Adversarial Attack
Adversarial attacks have only focused on changing the predictions of the...
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05/26/2022
Green Hierarchical Vision Transformer for Masked Image Modeling
We present an efficient approach for Masked Image Modeling (MIM) with hi...
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04/18/2022
Detecting Deepfakes with Self-Blended Images
In this paper, we present novel synthetic training data called self-blen...
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03/28/2022
Learning Where to Learn in Cross-View Self-Supervised Learning
Self-supervised learning (SSL) has made enormous progress and largely na...
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02/25/2022
Subjective Functionality and Comfort Prediction for Apartment Floor Plans and Its Application to Intuitive Searches
This study presents a new user experience in apartment searches using fu...
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11/01/2021
Edge-Level Explanations for Graph Neural Networks by Extending Explainability Methods for Convolutional Neural Networks
Graph Neural Networks (GNNs) are deep learning models that take graph da...
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06/10/2021
Unsupervised Video Person Re-identification via Noise and Hard frame Aware Clustering
Unsupervised video-based person re-identification (re-ID) methods extrac...
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01/05/2021
Learning from Synthetic Shadows for Shadow Detection and Removal
Shadow removal is an essential task in computer vision and computer grap...
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12/22/2020
Predicting Online Video Advertising Effects with Multimodal Deep Learning
With expansion of the video advertising market, research to predict the ...
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12/07/2020
Sparse Fooling Images: Fooling Machine Perception through Unrecognizable Images
In recent years, deep neural networks (DNNs) have achieved equivalent or...
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12/03/2020
Image inpainting using frequency domain priors
In this paper, we present a novel image inpainting technique using frequ...
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11/23/2020
Re-identification = Retrieval + Verification: Back to Essence and Forward with a New Metric
Re-identification (re-ID) is currently investigated as a closed-world im...
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10/29/2020
Self-Supervised Video Representation Using Pretext-Contrastive Learning
Pretext tasks and contrastive learning have been successful in self-supe...
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10/02/2020
Self-Play Reinforcement Learning for Fast Image Retargeting
In this study, we address image retargeting, which is a task that adjust...
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08/06/2020
Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework
We propose a self-supervised method to learn feature representations fro...
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07/05/2020
Image Aesthetics Prediction Using Multiple Patches Preserving the Original Aspect Ratio of Contents
The spread of social networking services has created an increasing deman...
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06/21/2020
Motion Representation Using Residual Frames with 3D CNN
Recently, 3D convolutional networks (3D ConvNets) yield good performance...
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03/14/2020
Investigating Generalization in Neural Networks under Optimally Evolved Training Perturbations
In this paper, we study the generalization properties of neural networks...
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03/03/2020
DeepSperm: A robust and real-time bull sperm-cell detection in densely populated semen videos
Background and Objective: Object detection is a primary research interes...
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01/16/2020
Rethinking Motion Representation: Residual Frames with 3D ConvNets for Better Action Recognition
Recently, 3D convolutional networks yield good performance in action rec...
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01/15/2020
Assessing Robustness of Deep learning Methods in Dermatological Workflow
This paper aims to evaluate the suitability of current deep learning met...
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01/12/2020
Weakly Supervised Video Summarization by Hierarchical Reinforcement Learning
Conventional video summarization approaches based on reinforcement learn...
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01/10/2020
Measuring Similarity between Brands using Followers' Post in Social Media
In this paper, we propose a new measure to estimate the similarity betwe...
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12/17/2019
Unpaired Image Enhancement Featuring Reinforcement-Learning-Controlled Image Editing Software
This paper tackles unpaired image enhancement, a task of learning a mapp...
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12/16/2019
PixelRL: Fully Convolutional Network with Reinforcement Learning for Image Processing
This paper tackles a new problem setting: reinforcement learning with pi...
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10/21/2019
User-Aware Folk Popularity Rank: User-Popularity-Based Tag Recommendation That Can Enhance Social Popularity
In this paper we propose a method that can enhance the social popularity...
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08/10/2019
Object-Aware Instance Labeling for Weakly Supervised Object Detection
Weakly supervised object detection (WSOD), where a detector is trained w...
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04/14/2019
Lunar surface image restoration using U-net based deep neural networks
Image restoration is a technique that reconstructs a feasible estimate o...
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03/26/2019
Improving image classifiers for small datasets by learning rate adaptations
Our paper introduces an efficient combination of established techniques ...
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11/10/2018
Fully Convolutional Network with Multi-Step Reinforcement Learning for Image Processing
This paper tackles a new problem setting: reinforcement learning with pi...
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03/30/2018
Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation
Can we detect common objects in a variety of image domains without insta...
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03/30/2018
Joint Optimization Framework for Learning with Noisy Labels
Deep neural networks (DNNs) trained on large-scale datasets have exhibit...
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03/23/2018
Object Detection for Comics using Manga109 Annotations
With the growth of digitized comics, image understanding techniques are ...
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02/11/2018
Supervised classification of Dermatological diseases by Deep neural networks
This paper introduces a deep learning based classifier for common skin a...
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09/12/2017
PQk-means: Billion-scale Clustering for Product-quantized Codes
Data clustering is a fundamental operation in data analysis. For handlin...
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05/26/2017
Residual Expansion Algorithm: Fast and Effective Optimization for Nonconvex Least Squares Problems
We propose the residual expansion (RE) algorithm: a global (or near-glob...
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10/15/2015
