watertight,
发表于 2025-3-25 06:20:29
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INERT
发表于 2025-3-25 11:31:59
Pixel and Channel Attention Network for Person Re-identification,on, camera angle and pedestrian pose, etc. still have adverse effects on the retrieval results. In particular, a lot of background and other redundant information is contained in the boundingbox. Meanwhile, the part-based solutions are imprecise on account of unbalanced partitioning. In order to min
头盔
发表于 2025-3-25 14:16:49
Infrared and Visible Image Matching Algorithm Based on SIFT and LDB,atures have poor matching performance in heterogeneous image matching. A number of improvements have been made to ensure that common features of heterogeneous images can be extracted efficiently. The gradient histogram-equalized image is used as the input matching image; The bilateral filtering is u
代理人
发表于 2025-3-25 18:15:22
The Overview of 2D to 3D Automatic Conversion,er vision. In this paper, on account of collected literatures and documents, we mainly introduces two methods of automatic depth map extraction based respectively on depth clues and machine learning. The depth map extraction method based on clues of several implementation algorithms is introduced, a
outrage
发表于 2025-3-25 22:11:20
Sugarcane Node Identification Based on Structured Learning Model,sections should be detected and transferred to microcontroller for cutting. However, current research fails to identify the sugarcane nodes for different kinds of sugarcanes and especially for those under complex background conditions. A novel approach proposed in this work is to recognize nodes of
中国纪念碑
发表于 2025-3-26 00:57:30
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Rct393
发表于 2025-3-26 05:38:02
Vascular Model Editing for 3D Printing Based on Implicit Functions,, so as to help the doctor to evaluate the success rate of the operation. However, current modeling technologies of 3D printing are based on explicit modeling method. These explicitly represented models need an extremely complicated geometric transformation before printing, which leads to damage of
刻苦读书
发表于 2025-3-26 08:42:45
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llibretto
发表于 2025-3-26 13:49:43
Fusion of Global and Local Gaussian-Hermite Moments for Face Recognition, a new face recognition algorithm based on fusion of global and local Gaussian-Hermite moments (GHMs). Firstly, in order to solve the interference of noise on features, we use the GHMs of face image as facial feature. Second, we construct the face image spatial pyramid to extract the global and loca
常到
发表于 2025-3-26 17:25:17
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