Usage: gprof2dot.py [options] [file] ... Options: --version show program's version number and exit -h, --help show this help message and exit -o FILE, --output=FILE output filename [stdout] -n PERCENTAGE, --node-thres=PERCENTAGE eliminate nodes belo
A powerful, easy-to-use utility for finding, extracting, creating and editing icons and cursors and managing icon libraries and image lists. With IconLover, you can: » Manage icons, static and animated cursors, icon and cursor libraries and image li
Image analysis and enhancement tasks such as tone mapping, colorization, stereo depth, and photomontage, often require computing a solution (e.g., for exposure, chromaticity, disparity, labels) over the pixel grid. Computational and memory costs oft
Layer Normalization (2016), J. Ba et al. Learning to learn by gradient descent by gradient descent (2016), M. Andrychowicz et al. Domain-adversarial training of neural networks (2016), Y. Ganin et al. WaveNet: A Generative Model for Raw Audio (2016)
Discover the potential applications, challenges, and opportunities of deep learning from a business perspective with technical examples. These applications include image recognition, segmentation and annotation, video processing and annotation, voic
作者：Xiaohang Zhan,Ziwei Liu,Ping Luo,Xiaoou Tang,Chen Change Loy 摘要：Deep convolutional networks for semantic image segmentation typically require large-scale labeled data, e.g. ImageNet and MS COCO, for network pre-training. To reduce annotation effo
Colorization for gray scale facial image is an important technique in various practical applications. However, the methods that have been proposed are essentially semi-automatic. In this paper, we present a new probabilistic framework based on Maximu
Colorization for gray scale facial image is an important technique in various practical applications. However, the methods that have been proposed are essentially semi-automatic. In this paper, we present a new probabilistic framework based on Maximu
