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@@ -22,6 +22,8 @@ Please feel free to [pull requests](https://github.com/kjw0612/awesome-deep-visi
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- [Semantic Segmentation](#semantic-segmentation)
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- [Semantic Segmentation](#semantic-segmentation)
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- [Courses](#courses)
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- [Courses](#courses)
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- [Software](#software)
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- [Software](#software)
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+ - [Framework](#framework)
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+ - [Applications](#applications)
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- [Tutorials](#tutorials)
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- [Tutorials](#tutorials)
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## Papers
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## Papers
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@@ -107,6 +109,12 @@ NIPS 2012.
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* Understanding and Visualizing
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* Understanding and Visualizing
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* Source code for "Understanding Deep Image Representations by Inverting Them", CVPR 2015. [[Web]](https://github.com/aravindhm/deep-goggle)
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* Source code for "Understanding Deep Image Representations by Inverting Them", CVPR 2015. [[Web]](https://github.com/aravindhm/deep-goggle)
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* Semenatic Segmentation
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* Semenatic Segmentation
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+ * Source code for the paper "Rich feature hierarchies for accurate object detection and semantic segmentation", CVPR 2014. [[Web]](https://github.com/rbgirshick/rcnn)
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+ * Source code for the paper "Fully Convolutional Networks for Semantic Segmentation", CVPR 2015. [[Web]](https://github.com/longjon/caffe/tree/future)
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+ * Super-Resolution
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+ * Image Super-Resolution for Anime-Style-Art [[Web]](https://github.com/nagadomi/waifu2x)
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+ * Edge Detection
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+ * Source code for the paper "DeepContour: A Deep Convolutional Feature Learned by Positive-Sharing Loss for Contour Detection" CVPR 2015. [[Web]](https://github.com/shenwei1231/DeepContour)
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## Tutorials
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## Tutorials
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* [CVPR 2014] [Tutorial on Deep Learning in Computer Vision](https://sites.google.com/site/deeplearningcvpr2014/)
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* [CVPR 2014] [Tutorial on Deep Learning in Computer Vision](https://sites.google.com/site/deeplearningcvpr2014/)
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