Some papers.

Deep Learning Basics

Activation Function

Year Source Abbr Title
2010 ICML ReLU Rectified Linear Units Improve Restricted Boltzmann Machines
2013 JMLR Maxout Maxout Networks
2013 ICML Leaky ReLU Rectifier Nonlinearities Improve Neural Network Acoustic Models
2015 ICCV PReLU Delving Deep into Rectifiers Surpassing Human-Level Performance on ImageNet Classification


Year Source Abbr Title
2015 ICML batch normalization Batch Normalization Accelerating Deep Network Training by Reducing Internal Covariate Shift

Data Augmentation

Year Source Abbr Title


Year Source Abbr Title
2010 AIS xavier Understanding the difficulty of training deep feedforward neural networks

Convolutional Neural Networks

Year Source Abbr Title

Recurrent Neural Networks

Image Classification

Year Source Abbr Title
2012 NIPS AlexNet Imagenet classification with deep convolutional neural networks
2015 ICLR VGG Very Deep Convolutional Networks for Large-Scale Image Recognition
2016 CVPR resnet Deep Residual Learning for Image Recognition

Semantic Segmentation


Year Source Abbr Title
2010 CVPR Deconvolutional Networks
2015 CVPR FCN Fully Convolutional Networks for Semantic Segmentation
2015 ICCV Learning Deconvolution Network for Semantic Segmentation
2016 Wider or Deeper Revisiting the ResNet Model for Visual Recognition
2016 ACCV FuseNet Incorporating Depth into Semantic Segmentation via Fusion-based CNN Architecture
2017 CVPR PSPnet Pyramid Scene Parsing Network

Object Detection


Year Source Abbr Title
2014 CVPR rcnn Rich feature hierarchies for accurate object detection and semantic segmentation
2015 ICCV fast-rcnn Fast R-CNN
2015 NIPS faster-rcnn Faster R-CNN Towards Real-Time Object Detection with Region Proposal Networks
2015 PAMI sppnet Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
2015 yolo You Only Look Once Unified Real-Time Object Detection
2016 ECCV ssd SSD Single Shot MultiBox Detector
2016 PAMI rcnn Region-based convolutional networks for accurate object detection and segmentation
2016 rfcn R-FCN Object Detection via Region-based Fully Convolutional Networks
2017 CVPR Speed/accuracy trade-offs for modern convolutional object detectors

Optical Flow

Year Source Abbr Title
2015 ICCV flownet Flownet: Learning optical flow with convolutional networks
2017 CVPR flownet2 FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

transpose convolution?
pascal voc object detection
Large Kernel Matters – Improve Semantic Segmentation by Global Convolutional Network
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes
Rethinking Atrous Convolution for Semantic Image Segmentation
ICNet for Real-Time Semantic Segmentation on High-Resolution Images