Merge pull request #48 from Vgandhi9/master

Added Context Encoders: Feature Learning by Inpainting

README.md

@@ -19,23 +19,23 @@ Please feel free to [pull requests](https://github.com/kjw0612/awesome-deep-visi
 
 ## Table of Contents
 - [Papers](#papers)
-- [ImageNet Classification](#imagenet-classification)
-- [Object Detection](#object-detection)
-- [Object Tracking](#object-tracking)
-- [Low-Level Vision](#low-level-vision)
-  - [Super-Resolution](#super-resolution)
-  - [Other Applications](#other-applications)
-- [Edge Detection](#edge-detection)
-- [Semantic Segmentation](#semantic-segmentation)
-- [Visual Attention and Saliency](#visual-attention-and-saliency)
-- [Object Recognition](#object-recognition)
-- [Understanding CNN](#understanding-cnn)
-- [Image and Language](#image-and-language)
-  - [Image Captioning](#image-captioning)
-  - [Video Captioning](#video-captioning)
-  - [Question Answering](#question-answering)
-- [Image Generation](#image-generation)
-- [Other Topics](#other-topics)
+  - [ImageNet Classification](#imagenet-classification)
+  - [Object Detection](#object-detection)
+  - [Object Tracking](#object-tracking)
+  - [Low-Level Vision](#low-level-vision)
+    - [Super-Resolution](#super-resolution)
+    - [Other Applications](#other-applications)
+  - [Edge Detection](#edge-detection)
+  - [Semantic Segmentation](#semantic-segmentation)
+  - [Visual Attention and Saliency](#visual-attention-and-saliency)
+  - [Object Recognition](#object-recognition)
+  - [Understanding CNN](#understanding-cnn)
+  - [Image and Language](#image-and-language)
+    - [Image Captioning](#image-captioning)
+    - [Video Captioning](#video-captioning)
+    - [Question Answering](#question-answering)
+  - [Image Generation](#image-generation)
+  - [Other Topics](#other-topics)
 - [Courses](#courses)
 - [Books](#books)
 - [Videos](#videos)
@@ -134,6 +134,8 @@ Please feel free to [pull requests](https://github.com/kjw0612/awesome-deep-visi
   * Li Xu, Jimmy SJ. Ren, Qiong Yan, Renjie Liao, Jiaya Jia, Deep Edge-Aware Filters, ICML, 2015.
 * Computing the Stereo Matching Cost with a Convolutional Neural Network [[Paper]](http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Zbontar_Computing_the_Stereo_2015_CVPR_paper.pdf)
   * Jure Žbontar, Yann LeCun, Computing the Stereo Matching Cost with a Convolutional Neural Network, CVPR, 2015.
+* Feature Learning by Inpainting[[Paper]](https://arxiv.org/pdf/1604.07379v1.pdf)[[Code]](https://github.com/pathak22/context-encoder)
+  * Deepak Pathak, Philipp Krahenbuhl, Jeff Donahue, Trevor Darrell, Alexei A. Efros, Context Encoders: Feature Learning by Inpainting, CVPR, 2016
 
 ### Edge Detection
 ![edge_detection](https://cloud.githubusercontent.com/assets/5226447/8452371/93ca6f7e-2025-11e5-90f2-d428fd5ff7ac.PNG)