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...
Deep learning for visual understanding: A review 视觉理解中的深度学习:回顾 ABSTRACT: Deep learning algorithms are a subset of the machine learning algorithms, which aim at discovering multiple levels of distributed representations. Recently, numerous deep learning algorithms have been proposed to solve t...
The articles in this special section survey articles on the latest advances in deep learning for visual understanding. Its objective it to encourage a diverse audience of researchers and enthusiasts toward an effective participation in the solution of analogous problems in other signal processing fields...
3. 【论文翻译】:2020-CVPR-PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition(788) 4. 【论文笔记】2020_ECCV_The Group Loss for Deep Metric Learning(700) 5. 【计算机组成原理】:存储系统学习(上)(550) Copyright © 2024 no_forget Powered by .NET 9.0 on Kubernetes AI助手 ...
Guo Y, Liu Y, Oerlemans A, Lao S, Wu S, Lew MS (2016) Deep learning for visual understanding: a review. Neurocomputing 187:27–48. https://doi.org/10.1016/j.neucom.2015.09.116 Article Google Scholar Guo H, Tang R, Ye Y, Li Z, He X (2017) DeepFM: a factorization-machine ...
Deep learning for visual understanding: A review Deep learning algorithms are a subset of the machine learning algorithms, which aim at discovering multiple levels of distributed representations. Recently... Yanming,Guo,Yu,... - 《Neurocomputing》 被引量: 230发表: 2016年 Deep Learning for Underst...
“Deep Learning for Computer Vision“ This is the book I wish I had when I was getting started with deep learning for visual recognition. This book was born out of one thought: How can I get you proficient with deep learning for computer vision as fast as possible?
Visual interpretability for deep learning: a survey. Fron- tiers of Information Technology & Electronic Engineering, 19(1):27-39, 2018.Quanshi Zhang, Song-Chun Zhu. Visual Interpretability for Deep Learning: a Survey. arXiv preprint arXiv:1802.00614, 2018....
For more information of LogReader, please refer to LogReader.Function PreviewScalarScalar makes use of various charts to display how the parameters, such as accuracy, loss and learning rate, changes during the training process. In this case, developers can observe not only the single but also ...
Fig. 3: Explainable deep learning showing saliency maps for predictive understanding with the network model representations. a, b Saliency Map for Amazon River flow prediction using Earth System Models (ESM) (a) and reanalysis (b) sea surface temperature (SST), respectively. c, d Saliency Map ...