Results 11 to 20 of about 791,315 (305)
Multiplexing Multi-Scale Features Network for Salient Target Detection
Applied SciencesThis paper proposes a multiplexing multi-scale features network (MMF-Network) for salient target detection to tackle the issue of incomplete detection structures when identifying salient targets across different scales.
Xiaoxuan Liu +3 more
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Image Deraining Algorithm Based on Multi-Scale Features
Applied SciencesIn target detection, tracking, and recognition tasks, high-quality images can achieve better results. However, in actual scenarios, the visual effects and data quality of images are greatly reduced due to the influence of environmental factors, which ...
Jingkai Yang +8 more
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Multi-Scale Salient Features for Analyzing 3D Shapes [PDF]
Journal of Computer Science and Technology, 2012 Extracting feature regions on mesh models is crucial for shape analysis and understanding. It can be widely used for various 3D content-based applications in graphics and geometry field. In this paper, we present a new algorithm of extracting multi-scale salient features on meshes. This is based on robust estimation of curvature on multiple scales. The
Yong-Liang Yang, Chao-Hui Shen
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MSPR-Net: A Multi-Scale Features Based Point Cloud Registration Network
Remote Sensing, 2022 Point-cloud registration is a fundamental task in computer vision. However, most point clouds are partially overlapping, corrupted by noise and comprised of indistinguishable surfaces, especially for complexly distributed outdoor LiDAR point clouds ...
Jinjin Yu +3 more
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Multi-scale phase-based local features [PDF]
2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., 2003 Local feature methods suitable for image feature based object recognition and for the estimation of motion and structure are composed of two steps, namely the 'where' and 'what' steps. The 'where' step (e.g., interest point detector) must select image points that are robustly localizable under common image deformations and whose neighborhoods are ...
Gustavo Carneiro 0001, Allan D. Jepson
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Insights into Imaging, 2023 Purpose To investigate the effectiveness of an automatic analysis framework based on 3D-CT multi-scale features in predicting Ki67 expression levels in substantial renal cell carcinoma (RCC).
Huancheng Yang +10 more
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Multi-scale Feature Aggregation for Crowd Counting
CoRR, 2022 Convolutional Neural Network (CNN) based crowd counting methods have achieved promising results in the past few years. However, the scale variation problem is still a huge challenge for accurate count estimation. In this paper, we propose a multi-scale feature aggregation network (MSFANet) that can alleviate this problem to some extent.
Xiaoheng Jiang +8 more
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Selective Deeply Supervised Multi-Scale Attention Network for Brain Tumor Segmentation [PDF]
, 2023 Brain tumors are among the deadliest forms of cancer, characterized by abnormal proliferation of brain cells. While early identification of brain tumors can greatly aid in their therapy, the process of manual segmentation performed by expert doctors ...
Siddique Latif +9 more
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A Few Shot Classification Methods Based on Multiscale Relational Networks
Applied Sciences, 2022 Learning information from a single or a few samples is called few-shot learning. This learning method will solve deep learning’s dependence on a large sample. Deep learning achieves few-shot learning through meta-learning: “how to learn by using previous
Wenfeng Zheng +6 more
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Remote Sensing, 2021 Multifarious hyperspectral image (HSI) classification methods based on convolutional neural networks (CNN) have been gradually proposed and achieve a promising classification performance.
Dongxu Liu +6 more
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