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07/06/2023
That's BAD: Blind Anomaly Detection by Implicit Local Feature Clustering
Recent studies on visual anomaly detection (AD) of industrial objects/te...
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07/06/2023
Contextual Affinity Distillation for Image Anomaly Detection
Previous works on unsupervised industrial anomaly detection mainly focus...
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07/06/2023
RefVSR++: Exploiting Reference Inputs for Reference-based Video Super-resolution
Smartphones equipped with a multi-camera system comprising multiple came...
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07/06/2023
Reference-based Motion Blur Removal: Learning to Utilize Sharpness in the Reference Image
Despite the recent advancement in the study of removing motion blur in a...
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07/20/2022
More Practical Scenario of Open-set Object Detection: Open at Category Level and Closed at Super-category Level
Open-set object detection (OSOD) has recently attracted considerable att...
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07/20/2022
GRIT: Faster and Better Image captioning Transformer Using Dual Visual Features
Current state-of-the-art methods for image captioning employ region-base...
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07/07/2022
Single-image Defocus Deblurring by Integration of Defocus Map Prediction Tracing the Inverse Problem Computation
In this paper, we consider the problem in defocus image deblurring. Prev...
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07/06/2022
Learning Regularized Multi-Scale Feature Flow for High Dynamic Range Imaging
Reconstructing ghosting-free high dynamic range (HDR) images of dynamic ...
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06/30/2022
Rethinking Unsupervised Domain Adaptation for Semantic Segmentation
Unsupervised domain adaptation (UDA) adapts a model trained on one domai...
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09/14/2021
Improved Few-shot Segmentation by Redefinition of the Roles of Multi-level CNN Features
This study is concerned with few-shot segmentation, i.e., segmenting the...
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09/14/2021
Cross-Region Domain Adaptation for Class-level Alignment
Semantic segmentation requires a lot of training data, which necessitate...
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09/08/2021
Matching in the Dark: A Dataset for Matching Image Pairs of Low-light Scenes
This paper considers matching images of low-light scenes, aiming to wide...
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06/01/2021
Look Wide and Interpret Twice: Improving Performance on Interactive Instruction-following Tasks
There is a growing interest in the community in making an embodied AI ag...
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05/07/2020
How Can CNNs Use Image Position for Segmentation?
Convolution is an equivariant operation, and image position does not aff...
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11/26/2019
Efficient Attention Mechanism for Handling All the Interactions between Many Inputs with Application to Visual Dialog
It has been a primary concern in recent studies of vision and language t...
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10/21/2019
Analysis and a Solution of Momentarily Missed Detection for Anchor-based Object Detectors
The employment of convolutional neural networks has led to significant p...
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07/10/2019
Joint Learning of Multiple Image Restoration Tasks
Convolutional neural networks have recently been successfully applied to...
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03/21/2019
Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration
In this paper, we study design of deep neural networks for tasks of imag...
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12/03/2018
Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions
Many studies have been conducted so far on image restoration, the proble...
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03/01/2018
Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search
Researchers have applied deep neural networks to image restoration tasks...
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04/03/2017