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2017年5月2日 星期二

Deep Learning Reading List (Tools, Tutorials, Papers)

Deep Learning Fundamentals
R. Pieters
Python for image understanding link
A good talk for beginners
Chih-Fan Hsu, Chun-Ming Chang
(slides) (labs) (github)
Great training course in Chinese, made by Data Insights Research Lab in Academia Sinica
Deep learning tutorials
Provide in-depth introduction to deep learning theories and implementation with Theano.
Neural networks and deep learnings
A very comprehensive tutorial written by Michael Nielsen
Christopher Olah
A good blog to visualize NN
Geoffrey E. Hinton et al.
The breakthrough paper that introduces restricted Boltzmann machines and stacked deep-belief networks
Y LeCun,
Y Bengio,
G Hinton
Deep Learning, Nature, 2015
Review paper written by fathers of neural networks
Deep Learning Tools
Open source library developed by Google with C++ core and Python interface
A wrapper for Theano and Tensorflow, very user friendly.
DL library for Python developed by Université de Montréal
A fast and scalable C++ DL framework for visual recognition. Based on Caffe from UC Berkely
Deep Reinforcement Learning
Tambet Matiisen
Great introduction. Algorithms are implemented with Neon
Arhtur Juliani

Open AI Gym
A framework let your RL algorithms play video games
Mnih, et al.
Human-Level Control through Deep Reinforcement Learning, Nature, 2015
Deep Q-network (DQN) by Google Deep Mind (code)
David Sliver, Aja Huang et al.
Paper of AlphaGo, period.
DL for Image Classification and Object Detection
An image database with 14 million images organized according to the WordNet hierarchy
Hold the Large Scale Visual Recognition Challenge (ILSVRC) challenges every year
Alex Krizhevsky
Ilya Sutskever
Geoffrey E. Hinton
First successful deep network for image classification, aka AlexNet

Karen Simonyan, Andrew Zisserman
Winner of ILSVRC 2014
C. Szegedy et al.
Google Research
Going Deeper with Convolutions, CVPR 2015
K. He et al.
Microsoft Research
CVPR 2016 best paper and winner of ILSVRC 2015, aka ResNet
DL for Image Annotations
A. Karpathy
Li Fei-Fei
Deep Visual-Semantic Alignments for Generating Image Descriptions, CVPR 2015

Justin Johnson
Andrej Karpathy
Li Fei-Fei
DenseCap: Fully Convolutional Localization Networks for Dense Captio, CVPR 2016

DL for Video Applications (CVPR 2016)
Ting Yao et al.
Highlight Detection with Pairwise Deep Ranking for First-Person Video Summarization [pdf

Michael Cgyli et al.
Video2GIF: Automatic Generation of Animated GIFs from Video [pdf
B. Tekin et al.
Direct Prediction of 3D Body Poses from Motion Compensated Sequences [pdf

Bingbing Li. et al.
Progressively Parsing Interactional Objects for Fine Grained Action Detection [pdf

Pingbo Pan et al.
Hierarchical Recurrent Neural Encoder for Video Representation With Application to Captioning [pdf

Zheng Shou, Dongang Wang, Shih-Fu Chang
Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs [pdf

Ziwei Liu et al.
DeepFashion: Powering Robust Clothes Recognition and Retrieval With Rich Annotations [pdf]

Xiaofan Zhang et al.
Embedding Label Structures for Fine-Grained Feature Representation [pdf]

Other Video Applications (CVPR 2016)
Jingjing Meng et al.
From Keyframes to Key Objects:
Video Summarization by Representative Object Proposal Selection [pdf

K.  Grauman et al.
Summary Transfer: Exemplar-based Subset Selection for Video Summarization [pdf

Feng Zhou, Yuanqing Lin
Fine-Grained Image Classification by Exploring Bipartite-Graph Labels [pdf]