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Exploring Misclassification Information for Fine-Grained Image Classification
Sensors, 2021 Fine-grained image classification is a hot topic that has been widely studied recently. Many fine-grained image classification methods ignore misclassification information, which is important to improve classification accuracy.
Da-Han Wang +4 more
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Feature Learning Improved by Location Guidance and Supervision for Object Detection
IEEE Access, 2021 In recent years, the single-stage detectors have been developed rapidly; however, compared with the multi-stage detectors, their detection precision is still relatively low.
Bingying Li +4 more
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2D electrophoresis image brightness correction based on gradient interval histogram
BMC Bioinformatics, 2020 Background Two-dimensional electrophoresis (2DE) is one of the most widely applied techniques in comparative proteomics. The basic task of 2DE is to identify differential protein expression by quantitative analysis of 2DE images.
Qiaofeng Ou +4 more
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EURASIP Journal on Image and Video Processing, 2023 Image quality assessment (IQA) has become a hot issue in the area of image processing, which aims to evaluate image quality automatically by a metric being consistent with subjective evaluation.
Congmin Chen, Xuanqin Mou
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Respiratory Sound Classification by Applying Deep Neural Network with a Blocking Variable
Applied Sciences, 2023 Respiratory diseases are leading causes of death worldwide, and failure to detect diseases at an early stage can threaten people’s lives. Previous research has pointed out that deep learning and machine learning are valid alternative strategies to detect
Runze Yang +5 more
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Syncretic-NMS: A Merging Non-Maximum Suppression Algorithm for Instance Segmentation
IEEE Access, 2020 Instance segmentation is typically based on an object detection framework. Semantic segmentation is conducted on the bounding boxes that are returned by detectors.
Jun Chu +4 more
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SiamCAM: A Real-Time Siamese Network for Object Tracking with Compensating Attention Mechanism
Applied Sciences, 2022 The Siamese-based object tracking algorithm regards tracking as a similarity matching problem. It determines the object location according to the response value of the object template to the search template.
Kai Huang +4 more
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Image segmentation based on adaptive K-means algorithm
EURASIP Journal on Image and Video Processing, 2018 Image segmentation is an important preprocessing operation in image recognition and computer vision. This paper proposes an adaptive K-means image segmentation method, which generates accurate segmentation results with simple operation and avoids the ...
Xin Zheng +4 more
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Enhanced Perception for Autonomous Driving Using Semantic and Geometric Data Fusion
Sensors, 2022 Environment perception remains one of the key tasks in autonomous driving for which solutions have yet to reach maturity. Multi-modal approaches benefit from the complementary physical properties specific to each sensor technology used, boosting overall ...
Horatiu Florea +5 more
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Image-Dehazing Method Based on the Fusion Coding of Contours and Colors
IEEE Access, 2019 The dehazing of images shot in fog is a hot spot in the study of computer vision. Unlike dehazing methods, which use an atmospheric scattering model, the method proposed here is based on fusion coding of contours and colors.
Mingming Tan +5 more
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