Summaries of papers on Deep Learning/Computer Vision

2018

YOLOv3: An Incremental Improvement [Paper][Review]
- Joseph Redmon, Ali Farhadi, arxiv, 2018

DSD: Dense-Sparse-Dense training for deep neural networks [Paper][Review]
- Song Han, Huizi Mao, Enhao Gong, Shijian Tang, William J. Dally, arxiv 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications [Paper][Review]
- Andrew G. Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, Hartwig Adam, arxiv, 2017
An Implementation of Faster RCNN for Region Sampling [Paper]
- Xinlei Chen, Abhinav Gupta, arxiv, 2017

YOLO9000: Better, Faster, Stronger [Paper][Review]
- Joseph Redmon, Ali Farhadi, arxiv, 2016
Densely Connected Convolutional Networks [Paper][Review]
- Gao Huang, Zhuang Liu, Laurens van der Maaten, Kilian Q. Weinberger, arxiv, 2016
R-FCN: Object Detection via Region-based Fully Convolutional Networks [Paper][Review]
- Jifeng Dai, Yi Li, Kaiming He, Jian Sun, arxiv, 2016
SqueezeNet: AlexNet-level Accuracy With 50x Fewer Parameters And <0.5MB Model Size [Paper][Review]
- Forrest N. Iandola, Song Han, Matthew W. Moskewiez, Khalid Ashraf, William J. Dally, Kurt Keutzar, arxiv, 2016

Cyclical Learning Rates for Training Neural Networks [Paper][Review]
- Leslie N. Smith
You Only Look Once: Unified, Real-Time Object Detection [Paper][Review]
- Joseph Redmon, Santosh Divvala, Ross Girshick, Ali Farhadi, arxiv, 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding [Paper][Review]
- Song Han, Huizi Mao, William J. Dally, arxiv, 2015
Deep Residual Learning for Image Recognition [Paper][Review]
- Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun, arxiv, 2015

Going Deeper with Convolutions [Paper][Review]
- Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich, arxiv, 2014
Network in Network [Paper] [Review]
- Min Lin, Qiang Chen, Shuicheng Yan, ICLR, 2014
Visualizing and Understanding Convolutional Networks [Paper][Review]
- Matthew D. Zeiler, Rob Fergus, ECCV,2014

Overfeat : Integrated Recognition, Localization and Detection using Convolutional Neural Networks [Paper][Review]
- Pierre Sermanet, David Eigen, Xiang Zhang, Michael Mathieu, Rob Fergus, Yann LeCun, arxiv, 2013
Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks [Paper][Review]
- Alessandro Giusti, Dan C. Ciresan, Jonathan Masci, Luca M. Gambardella, Jurgen Schmidhuber, arxiv, 2013
Some Improvements on Deep Convolutional Neural Network based Image Classification [Paper][Review]
- Andrew G. Howard, arxiv, 2013

ImageNet Classification with Deep Convolutional Neural Networks [Paper][Review]
- Alex Krizhevsky, Ilya Sutskever, Geoffrey Hinton, NIPS, 2012