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Multi‐feature fusion‐based strabismus detection for children
Strabismus is a common ophthalmologic disease that affects approximately 1.19% to 5.0% of children; however if the disease is detected early it can be treated effectively.
Guiying Zhang +6 more
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Multi-source information fusion technology is a kind of information processing technology which comprehensively processes and utilizes multi-source uncertain information.
Chaoyue Guo, Qiuzhi Song, Yali Liu
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Multi-band Image Self-supervised Fusion Method Based on Multi-discriminator [PDF]
In order to solve the problem that the fusion result is limited due to the over dependence on the label image when using the deep learning methods in the multi band image fusion field,a multi-band image feature-level self-supervised fusion method based ...
TIAN Song-wang, LIN Su-zhen, YANG Bo
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New Feature-level Algorithm for a Face-fingerprint Integral Multi-biometrics Identification System
This article delves into the power of multi-biometric fusion for individual identification. a new feature-level algorithm is proposed that is the Dis-Eigen algorithm.
Bayan Omar +3 more
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Multi‐level feature fusion network for crowd counting
Crowd counting has become a noteworthy vision task due to the needs of numerous practical applications, but it remains challenging. State‐of‐the‐art methods generally estimate the density map of the crowd image with the high‐level semantic features of ...
Luyang Wang +4 more
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A pan-sharpening network using multi-resolution transformer and two-stage feature fusion [PDF]
Pan-sharpening is a fundamental and crucial task in the remote sensing image processing field, which generates a high-resolution multi-spectral image by fusing a low-resolution multi-spectral image and a high-resolution panchromatic image. Recently, deep
Wensheng Fan, Fan Liu, Jingzhi Li
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Multi-Feature Fusion Algorithm in VR Panoramic Image Detail Enhancement Processing
VR panoramic image is an image technology that covers a wide range of scenes. Its imaging range is much larger than that of traditional imaging systems, and it can fully reflect all the information of the imaging space.
Minling Zhu, Xiaomo Yu
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Improved DeepSORT Algorithm Based on Multi Feature Fusion
Pedestrian multi-target tracking technology plays an important role in artificial intelligence, driverless, virtual reality and other fields. The pedestrian multi-target tracking algorithm DeepSORT based on detection is widely used in industry. It mainly tracks multiple pedestrian targets continuously and keeps their ID unchanged.
Liu, Haiying +3 more
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Multi‐features fusion classification method for texture image [PDF]
Aiming at the problem of poor classification and recognition rate for distorted texture image based on single texture feature, a classification method of texture image based on multi‐features fusion is proposed. First, the corresponding GLCM features, HOG features, and HU moment features were extracted from the segmented texture images. Then, the three
Jing Chen, Yanxin Zhang, Yuanyuan Jiang
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Small insulator target detection based on multi‐feature fusion
The proportion of insulators in aerial power patrol images is small and the background of overhead lines is complex, often leading to incomplete and inaccurate detection of insulators.
Minan Tang, Kai Liang, Jiandong Qiu
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