AIETS/Resources_DeepLearning

Resources DeepLearning

Here you will find a lot of deep learning resources, such as papers, datasets, interesting codes,etc..

Content

• Papers
• Datasets
• Code

Papers

• Semantic segmentation (Natural images)

  • 2017 - A Review on Deep Learning Techniques Applied to Semantic Segmentation
  • 2017 - Not all pixels are equal: difficulty-aware semantic segmentation via deep layer cascade
  • 2017 - The one hundred layers tiramisu: Fully convolutional densenets for semantic segmentation
  • 2017 - Segnet: A deep convolutional encoder-decoder architecture for image segmentation
  • 2016 - Multi-scale context aggregation by dilated convolutions
  • 2016 - DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
  • 2016 - Attention to scale: Scale-aware semantic image segmentation
  • 2016 - Enet: A deep neural network architecture for real-time semantic segmentation
  • 2015 - Fully Convolutional Networks for Semantic Segmentation

• Semantic segmentation (Medical images)

  • 2017 - Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation
  • 2016 - Voxresnet: Deep voxelwise residual networks for volumetric brain segmentation
  • 2015 - U-Net: Convolutional Networks for Biomedical Image Segmentation

• Image classification

  • 2017 - Densely connected convolutional networks
  • 2017 - Inception-v4, inception-resnet and the impact of residual connections on learning
  • 2016 - Wide residual networks
  • 2016 - Deep Residual Learning for Image Recognition
  • 2016 - Rethinking the inception architecture for computer vision
  • 2015 - Spatial pyramid pooling in deep convolutional networks for visual recognition
  • 2014 - Very deep convolutional networks for large-scale image recognition
  • 2012 - ImageNet Classification with Deep Convolutional Neural Networks

• Object detection

  • 2015 - Fast R-CNN

• Face detection

  • 2015 - A convolutional neural network cascade for face detection

• Action recognition (Videos)

  • 2016 - Convolutional two-stream network fusion for video action recognition
  • 2014 - Two-Stream Convolutional Networks for Action Recognition in Videos
  • 2013 - 3D convolutional neural networks for human action recognition

• General

  • 2017 - Recent advances in convolutional neural networks
  • 2017 - A Survey on Deep Learning in Medical Image Analysis

Datasets

• Natural images:

  • PascalVOC
  • PascalVOC-Context
  • COCO
  • Cityscapes
  • CamVid
  • TorontoRoad

• Medical images:

  • All Challenges

Code

Others

• Semantic segmentation with DL