Exploring Hardware Friendly Bottleneck Architecture in CNN for Embedded Computing Systems

11 March 2024

Papers citing "Exploring Hardware Friendly Bottleneck Architecture in CNN for Embedded Computing Systems"

8 / 8 papers shown

Title
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design Ningning Ma Xiangyu Zhang Haitao Zheng Jian Sun 145 4,957 0 30 Jul 2018
Learning Transferable Architectures for Scalable Image Recognition Barret Zoph Vijay Vasudevan Jonathon Shlens Quoc V. Le 157 5,577 0 21 Jul 2017
Interleaved Group Convolutions for Deep Neural Networks Ting Zhang Guo-Jun Qi Bin Xiao Jingdong Wang 74 81 0 10 Jul 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 458 10,281 0 16 Nov 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 307 10,149 0 16 Mar 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems Martín Abadi Ashish Agarwal P. Barham E. Brevdo Zhiwen Chen ... Pete Warden Martin Wattenberg Martin Wicke Yuan Yu Xiaoqiang Zheng 218 11,135 0 14 Mar 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size F. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf W. Dally Kurt Keutzer 132 7,448 0 24 Feb 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 219 8,793 0 01 Oct 2015