Maybe you want or need to start using deep learning for visual recognition on your research project or on a project at work. This book was written to help you do that quickly and efficiently by compressing years of knowledge and experience into a laser-focused course of hands-on tutorials. ...
Deep learning for visual understanding: A reviewYanming Guoa,c , Yu Liu a , Ard Oerlemans b , Songyang Lao c , Song Wu a , Michael S. Lew a, na LIACS Media Lab, Leiden University, Niels Bohrweg 1, Leiden, The Netherlandsb VDG Security BV, Zoetermeer, The Netherlandsc College of I...
Recently, deep learning has achieved great success in visual tracking tasks, particularly in single-object tracking. This paper provides a comprehensive re
This survey is intended to be useful to general neural computing, computer vision and multimedia researchers who are interested in the state-of-the-art in deep learning in computer vision. It provides an overview of various deep learning algorithms and their applications, especially those that can ...
Jan Kautz是NVIDIA Visual Computing and Machine Learning Research的高级主管。这次演讲的主题是如何使用深度学习来解决从二维光流到三维的场景流(Optical Flow and Scene Flow)计算问题。其中光流的部分是这篇PWC-Net[4],将图像金字塔(Pyramid),图像扭曲(Warping)和Cost Volume(不知道怎么翻译,常用于双目视觉恢复视差...
S. Lew, “Deep learning for visual understanding: A review,” Neurocomputing, vol. 187, pp. 27–48, 2016.[27] W. Liu, Z. Wang, X. Liu, N. Zeng, Y. Liu, and F. E. Alsaadi, “A survey of deep neural network architectures and their applications,” Neurocomputing, vol. 234, ...
Deep learning is a distinct class of machine learning algorithms that utilize multiple layers to gradually extract more advanced features from raw input. This is beneficial when using a matrix as input for pixels in a photo or frames in a video. Computer vision is a field...
Virtual reality, augmented reality, robotics, and autonomous driving have attracted much attention from the academic and industrial communities, in which visual SLAM (VSLAM) is a key task. Deep learning plays an increasingly prominent role in the pose estimation of VSLAM, but no complete overview ...
Linguistic Regularities in Continuous Space Word Representations,word2vec - Tool for computing continuous distributed representations of words. - Google Project Hosting 最后一定得推荐这个Github: 机器学习(Machine Learning)&深度学习(Deep Learning)资料(Chapter 2)(篇目一是机器学习的资料汇总,篇目二是深度学习的...
Deep Learning for Surface Material Classification Using Haptic and Visual Information Deep learning for surface material classification using haptic and visual information. IEEE Trans Multi 2016; 18(12): 2407-2416... H Zheng,L Fang,M Ji,... - 《IEEE Transactions on Multimedia》 被引量: 2发表...