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5,281 Result(s)
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Article
MDUNet: deep-prior unrolling network with multi-parameter data integration for low-dose computed tomography reconstruction
The goal of this study is to reconstruct a high-quality computed tomography (CT) image from low-dose acquisition using an unrolling deep learning-based reconstruction network with less computational complexity...
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DTS: dynamic training slimming with feature sparsity for efficient convolutional neural network
Deep convolutional neural networks have achieved remarkable progress on computer vision tasks over last years. In this paper, we proposed a dynamic training slimming with feature sparsity based on structured p...
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Real-time water surface target detection based on improved YOLOv7 for Chengdu Sand River
It has been a challenge to obtain accurate detection results in a timely manner when faced with complex and changing surface target detection. Detecting targets on water surfaces in real-time can be challengin...
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An improved multi-scale and knowledge distillation method for efficient pedestrian detection in dense scenes
Pedestrian detection in densely populated scenes, particularly in the presence of occlusions, remains a challenging issue in computer vision. Existing approaches often address detection leakage by enhancing mo...
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Online camera auto-calibration appliable to road surveillance
Camera calibration is an essential prerequisite for road surveillance applications, which determines the accuracy of obtaining three-dimensional spatial information from surveillance video. The common practice...
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Event-Driven Heterogeneous Network for Video Deraining
Restoring clear frames from rainy videos poses a significant challenge due to the swift motion of rain streaks. Traditional frame-based visual sensors, which record dense scene content synchronously, struggle ...
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Spatially-Varying Illumination-Aware Indoor Harmonization
In this paper, we address the problem of spatially-varying illumination-aware indoor harmonization. Existing image harmonization works either focus on extracting no more than 2D information (e.g., low-level st...
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View-Invariant Skeleton Action Representation Learning via Motion Retargeting
Current self-supervised approaches for skeleton action representation learning often focus on constrained scenarios, where videos and skeleton data are recorded in laboratory settings. When dealing with estima...
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Oriented R-CNN and Beyond
Currently, two-stage oriented detectors are superior to single-stage competitors in accuracy, but the step of generating oriented proposals is still time-consuming, thus hindering the inference speed. This pap...
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Open AccessHSCNet++: Hierarchical Scene Coordinate Classification and Regression for Visual Localization with Transformer
Visual localization is critical to many applications in computer vision and robotics. To address single-image RGB localization, state-of-the-art feature-based methods match local descriptors between a query im...
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PosMLP-Video: Spatial and Temporal Relative Position Encoding for Efficient Video Recognition
In recent years, vision Transformers and MLPs have demonstrated remarkable performance in image understanding tasks. However, their inherently dense computational operators, such as self-attention and token-mi...
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Safety helmet detection based on improved YOLOv7-tiny with multiple feature enhancement
Safety helmets are vital protective gear for construction workers, effectively reducing head injuries and safeguarding lives. By identification of safety helmet usage, workers’ unsafe behaviors can be detected...
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RNAS-CL: Robust Neural Architecture Search by Cross-Layer Knowledge Distillation
Deep Neural Networks are often vulnerable to adversarial attacks. Neural Architecture Search (NAS), one of the tools for develo** novel deep neural architectures, demonstrates superior performance in predict...
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Artificial Immune System of Secure Face Recognition Against Adversarial Attacks
Deep learning-based face recognition models are vulnerable to adversarial attacks. In contrast to general noises, the presence of imperceptible adversarial noises can lead to catastrophic errors in deep face r...
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Pattern-Expandable Image Copy Detection
Open-world visual recognition aims to empower models to identify objects in real-world settings, particularly when they encounter domains or categories that are not included in the training dataset. This paper...
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Guest Editorial: Special Issue on ACCV 2022
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Learning Temporal Variations for 4D Point Cloud Segmentation
LiDAR-based 3D scene perception is a fundamental and important task for autonomous driving. Most state-of-the-art methods on LiDAR-based 3D recognition tasks focus on single-frame 3D point cloud data, ignoring...
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Inter-feature Relationship Certifies Robust Generalization of Adversarial Training
Whilst adversarial training has been shown as a promising wisdom to promote model robustness in computer vision and machine learning, adversarially trained models often suffer from poor robust generalization o...
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Deep learning based insulator fault detection algorithm for power transmission lines
Aiming at the complex background of transmission lines at the present stage, which leads to the problem of low accuracy of insulator fault detection for small targets, a deep learning-based insulator fault det...
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DisCO: Portrait Distortion Correction with Perspective-Aware 3D GANs
Close-up facial images captured at short distances often suffer from perspective distortion, resulting in exaggerated facial features and unnatural/unattractive appearances. We propose a simple yet effective m...