Regardless, execution of existing strategies on real-world images is still fundamentally missing, especially when considered the immense bounced in execution starting late reported for the related task of face acknowledgment. In this paper we exhibit that by learning representations through the use of ...
Human face Dataset(人脸数据集)数据摘要：An animated three-dimensional face showing different facial expressions, acquired using a real-time range camera. The acquisition speed is approximately 3 frames/sec. The database contains 15 expressions of the same face, represented as a textured shape. Each...
Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images. Heming Zhu, Yu Cao, Hang Jin, Weikai Chen, Dong Du, Zhangye Wang, Shuguang Cui, Xiaoguang Han. ECCV 2020. [PDF] [Project] GarNet++: Improving Fast and Accurate Static3D Cloth Draping by Curvature Lo...
To evaluate models of human categorization of natural images using these representations, we collect and present a large behavioral dataset of human categorizations, which we callCIFAR-10H. This dataset comprises over 500,000 classifications of 10,000 natural images from ten categories from the test ...
HumanFace dataset:https://pan.baidu.com/share/init?surl=dERYUmH with the password: 09h9 This dataset contains about 8000 girls‘ face images The main code structure is forked fromhttps://github.com/pytorch/examples/tree/master/dcgan
To deal with the issue of human face recognition on small original dataset, a new approach combining convolutional neural network (CNN) with augmented dataset is developed in this paper. The original small dataset is augmented to be a large dataset via several transformations of the face images....
MaskedFace-Net is available below: Update January 28, 2020:Refined selection of the incorrectly masked face images. 67,049 images with Correctly Masked Face Dataset (CMFD) at 1024×1024:Go to OneDrive (19 GB) 66,734 images with Incorrectly Masked Face Dataset (IMFD) at 1024×1024:Go to ...
To use MICA you can simply run thedemo.pyfile. It will process all the images fromdemo/input/folder and create the output destination for each subject with.plymesh, rendered image, and.npyFLAME parameters. The MICA dataset consists of eight smaller datasets for about 2300 subjects under a co...
CelebA-Dialog is a large-scale visual-language face dataset. It has two properties: (1) Facial images are annotated withrich fine-grained labels, which classify one attribute into multiple degrees according to its semantic meaning. (2) Accompanied with each image, there arecaptions describingthe ...
The human face is complex and multipartite, and characterization of its genetic architecture remains challenging. Using a multivariate genome-wide association study meta-analysis of 8,246 European individuals, we identified 203 genome-wide-significant signals (120 also study-wide significant) associated ...