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Deep Global Features for Point Cloud Alignment [PDF]
Sensors, 2020 Point cloud registration is a key problem in computer vision applications and involves finding a rigid transform from a point cloud into another such that they align together.
Ahmed El Khazari +3 more
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Regression-Based Camera Pose Estimation through Multi-Level Local Features and Global Features [PDF]
Sensors, 2023 Accurate and robust camera pose estimation is essential for high-level applications such as augmented reality and autonomous driving. Despite the development of global feature-based camera pose regression methods and local feature-based matching guided ...
Meng Xu +3 more
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An enhanced denoising system for mammogram images using deep transformer model with fusion of local and global features [PDF]
Scientific ReportsImage denoising is a critical problem in low-level computer vision, where the aim is to reconstruct a clean, noise-free image from a noisy input, such as a mammogram image. In recent years, deep learning, particularly convolutional neural networks (CNNs),
A. Robert Singh +5 more
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Fusing Local Shallow Features and Global Deep Features to Identify Beaks
Animals, 2023 Cephalopods are an essential component of marine ecosystems, which are of great significance for the development of marine resources, ecological balance, and human food supply.
Qi He +4 more
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Internet marketing global features [PDF]
Marketing (Beograd. 1991), 2005 Business environment incessantly bringing a yard of a new challenges to market entities. One of the greatest challenges that companies faced during the last couple of decades was development of information systems as well as a large scale usage of world ...
Rakita Branko, Mitić Sanja
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A New Learning-based Spatiotemporal Descriptor for Online Symbol Recognition [PDF]
Journal of Artificial Intelligence and Data Mining, 2022 The success of handwriting recognition methods based on digitizer-pen signal processing is mostly dependent on the defined features. Strong and discriminating feature descriptors can play the main role in improving the accuracy of pattern recognition ...
M. Sepahvand, F. Abdali-Mohammadi
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An Intelligent Weighted Object Detector for Feature Extraction to Enrich Global Image Information
Applied Sciences, 2022 Object detection is a fundamental task in computer vision. To improve the detection accuracy of a detection model without increasing the model weights, this paper modifies the YOLOX model by first replacing some of the traditional convolution operations ...
Lingyu Yan +4 more
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A Novel Decoupled Feature Pyramid Networks for Multi-Target Ship Detection
Sensors, 2023 The efficiency and accuracy of ship detection is of great significance to ship safety, harbor management, and ocean surveillance in coastal harbors. The main limitations of current ship detection methods lie in the complexity of application scenarios ...
Wentao Xue +3 more
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Sensors, 2023 The infrared and visible image fusion task aims to generate a single image that preserves complementary features and reduces redundant information from different modalities.
Hui Li +3 more
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Contextual cuing by global features [PDF]
Perception & Psychophysics, 2006 In visual search tasks, attention can be guided to a target item--appearing amidst distractors--on the basis of simple features (e.g., finding the red letter among green). Chun and Jiang's (1998) contextual cuing effect shows that reaction times (RTs) are also speeded if the spatial configuration of items in a scene is repeated over time.
Melina A, Kunar +2 more
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