Omnipotent
发表于 2025-3-23 09:56:48
3D Human Body Reconstruction from a Single Imagegenerative adversarial network consists of two parts (generative network and adversarial network). The generative network is made up of a deep residual network and a multilayer perception network. The goal is to generate suitable SMPL model parameters and camera parameters which fit the 2D and 3D po
不可知论
发表于 2025-3-23 14:42:57
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enchant
发表于 2025-3-23 22:03:31
Full Convolutional Color Constancy with Attentionased color constancy algorithm using FCNs with an adding pooling, which explained that the semantic information of each local region is different, whose contributions to global illumination color are different. The adding pooling can automatically merge all local patches into a global layer regardin
grounded
发表于 2025-3-24 00:33:35
Simplifying Sketches with Conditional GANd then convert it into simplified sketches by scanning or redrawing. Traditional CNN-based sketch simplification models often ignore the overall semantic structure of the sketch, and have limited simplification effect on sketch with shadows and a large number of messy lines. In this paper, we presen
bromide
发表于 2025-3-24 02:56:57
Improved Method of Target Tracking Based on SiamRPNenes. First, in the feature extraction part, the deep reference network ResNet-50 is adopted to extract deep features, and a lightweight dual-channel attention mechanism CBAM is introduced to refine feature extraction along the channel and spatial dimensions. Secondly, SE module is introduced into t
Magisterial
发表于 2025-3-24 07:22:06
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FLIT
发表于 2025-3-24 12:43:07
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云状
发表于 2025-3-24 17:24:05
Target Recognition Framework and Learning Mode Based on Parallel Imagesand high cost of building large data sets, emerge and restrict algorithm performance. In this paper, a target recognition framework and learning mode based on parallel images are proposed, and the application verification is carried out by taking the insulator target recognition in the transmission
正常
发表于 2025-3-24 22:29:28
Crowd Anomaly Scattering Detection Based on Information Entropyesent, the special detection methods of abnormal scattering behavior cannot fully mine and make use of the specific information, and the accuracy of these methods is not sensitive to the rapid capture of abnormal scattering behavior. In this paper, we propose a crowd anomaly scattering detection met
休息
发表于 2025-3-25 01:02:21
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