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05/12/2023
Self-Learning Symmetric Multi-view Probabilistic Clustering
Multi-view Clustering (MVC) has achieved significant progress, with many...
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03/21/2023
Information-containing Adversarial Perturbation for Combating Facial Manipulation Systems
With the development of deep learning technology, the facial manipulatio...
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11/30/2022
Rethinking Out-of-Distribution Detection From a Human-Centric Perspective
Out-Of-Distribution (OOD) detection has received broad attention over th...
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10/09/2022
Boosting Out-of-distribution Detection with Typical Features
Out-of-distribution (OOD) detection is a critical task for ensuring the ...
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04/14/2022
Spatial Likelihood Voting with Self-Knowledge Distillation for Weakly Supervised Object Detection
Weakly supervised object detection (WSOD), which is an effective way to ...
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04/01/2022
Dynamic Supervisor for Cross-dataset Object Detection
The application of cross-dataset training in object detection tasks is c...
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09/02/2020
PCPL: Predicate-Correlation Perception Learning for Unbiased Scene Graph Generation
Today, scene graph generation(SGG) task is largely limited in realistic ...
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06/23/2020
SLV: Spatial Likelihood Voting for Weakly Supervised Object Detection
Based on the framework of multiple instance learning (MIL), tremendous w...
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11/08/2019
AIM 2019 Challenge on Image Demoireing: Methods and Results
This paper reviews the first-ever image demoireing challenge that was pa...
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10/18/2018
Implicit Dual-domain Convolutional Network for Robust Color Image Compression Artifact Reduction
Several dual-domain convolutional neural network-based methods show outs...
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10/18/2018
S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact Reduction
Recent studies have used deep residual convolutional neural networks (CN...
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05/07/2018