Titlebook: Image and Graphics Technologies and Applications; 15th Chinese Confere Yongtian Wang,Xueming Li,Yuxin Peng Conference proceedings 2020 Spri

Omnipotent

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

enchant

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

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

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

FLIT

云状

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

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