Making CNNs for video parsing accessible: event extraction from DOTA2 gameplay video using transfer, zero-shot, and network pruning
作者： Mark Riedl , Matthew Guzdial , Zijin Luo
关键词: Deep learning 、 Artificial intelligence 、 Parsing 、 Zero (linguistics) 、 Machine learning 、 Backpropagation 、 Pruning (decision trees) 、 Computer science 、 Domain (software engineering) 、 Convolutional neural network 、 Event (computing)
摘要: … events from DOTA2 in this paper as chosen by a DOTA2 expert … approaches in the domain of DOTA2. Given that ResNet style … of player character class in DOTA2, so what particular …
acm.org
sci-hub.st 参考文章(20)
Amir Roshan Zamir, Khurram Soomro, Mubarak Shah, UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild arXiv: Computer Vision and Pattern Recognition. ,(2012)
Karen Simonyan, Andrew Zisserman, Very Deep Convolutional Networks for Large-Scale Image Recognition computer vision and pattern recognition. ,(2014)
Lidson Barbosa Jacob, Troy C. Kohwalter, Alex F. V. Machado, Esteban W. G. Clua, Daniel De Oliveira, A Non-intrusive Approach for 2D Platform Game Design Analysis Based on Provenance Data Extracted from Game Streaming computer games. pp. 41- 50 ,(2014) , 10.1109/SBGAMES.2014.33
Guangyu Zhu, Changsheng Xu, Qingming Huang, Wen Gao, Liyuan Xing, Player action recognition in broadcast tennis video with applications to semantic analysis of sports game Proceedings of the 14th annual ACM international conference on Multimedia - MULTIMEDIA '06. pp. 431- 440 ,(2006) , 10.1145/1180639.1180728
Julian Togelius, Sergey Karakovskiy, Robin Baumgarten, The 2009 Mario AI Competition IEEE Congress on Evolutionary Computation. pp. 1- 8 ,(2010) , 10.1109/CEC.2010.5586133
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, Li Fei-Fei, ImageNet: A large-scale hierarchical image database computer vision and pattern recognition. pp. 248- 255 ,(2009) , 10.1109/CVPR.2009.5206848
R. Reed, Pruning algorithms-a survey IEEE Transactions on Neural Networks. ,vol. 4, pp. 740- 747 ,(1993) , 10.1109/72.248452
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun, Deep Residual Learning for Image Recognition computer vision and pattern recognition. pp. 770- 778 ,(2016) , 10.1109/CVPR.2016.90
Jeremy Fowers, Eric S. Chung, Karin Strauss, Joo-Young Kim, Kalin Ovtcharov, Olatunji Ruwase, Accelerating Deep Convolutional Neural Networks Using Specialized Hardware hgpu.org. ,(2015)
Tim Salimans, Diederik P. Kingma, Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks arXiv: Learning. ,(2016)