PSS: Personalized Image Semantic Segmentation Paper PSS: Personalized Image Semantic Segmentation Yu Zhang, Chang-Bin Zhang, Peng-Tao Jiang, Ming-Ming Cheng, Feng Mao. International Conference on Computer Vision (ICCV), 2021 If you find this code useful for your research, please cite our paper:...
52.1% of consumers believe that AI skin analyzers are the main channel. Concerning the functions of skin analyzers, consumers most expect to receive accurate and reliable test reports, followed by scientific
The method includes: obtaining a query image from a user; performing an interactive segmentation process to determine one or more contours of an object-of-interest in the query image; determining a route having the maximum area overlap with the one or more contours of the object-of-interest ...
Currently, internationally renowned brands such as NOVIS and Estee Lauder, as well as innovative brands like BLOOMAGE BIOTECH, which have deeply cultivated the industry for many years, occupy significant shares in the anti-aging market and have a wide-ranging influence on the industry. In the fiel...
Springer Semantic Scholar ResearchGate istina.msu.ru 相似文献 参考文献 引证文献Method and System for Generating a Personalized Anatomical Heart Model A method and system for generating a patient specific anatomical heart model is disclosed. Volumetric image data, such as computed tomography (CT) or ec...
For semantic annotation, web-casting texts which are corresponding to sports videos are firstly captured from the webpages using data region segmentation and labeling. Incorporating the text, we detect events in the sports video and generate video event clips. These video clips are annotated by the...
Semantic Scholar (全网免费下载) ResearchGate (全网免费下载) Citeseer Citeseer (全网免费下载) image.ece.ntua.gr (全网免费下载) 查看更多 相似文献 参考文献Personal Content Recommender Based on a Hierarchical User Model for the Selection of TV Programmes In this paper we present our approach to user ...
Image Processing:The main process inmain.pycombines the segmented clothing mask and the pose estimation results to compose a final image of the person wearing the virtual clothes. It involves resizing the input image, generating semantic segmentation, removing the background, and adding the clothing...
2.2.5. Image preprocessing Preprocessing of fMRI data included the following steps. First, slice time correction and head motion correction were performed using AFNI (Cox, 1996). Then, tissue segmentation was conducted to extract brains using SPM12 (https://www.fil.ion.ucl.ac.uk/spm/). Struc...
The torso parameter extraction network (TPE-Net) is leveraged to extract the shape and pose parameters of the multi-perspective human body segmentation maps. The principal component analysis (PCA) is leveraged to extract the semantic features in the latent space of the 3D human body model, and ...