Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-deep-vision
A curated list of deep learning resources for computer vision
https://github.com/widemeadows/awesome-deep-vision
- pull requests
- ![Join the chat at https://gitter.im/kjw0612/awesome-deep-vision - deep-vision?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
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- classification
- [Paper - us/um/people/kahe/ilsvrc15/ilsvrc2015_deep_residual_learning_kaiminghe.pdf)]
- [Paper
- [Paper
- [Paper
- [Web
- [Paper
- object_detection
- [Paper - faster-rcnn)
- [Paper
- [Paper-CVPR14 - arXiv14]](http://arxiv.org/pdf/1311.2524)
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- [Paper - FCN)
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- [Web - ECCV14]](http://personal.ie.cuhk.edu.hk/~ccloy/files/eccv_2014_deepresolution.pdf) [[Paper-arXiv15]](http://arxiv.org/pdf/1501.00092.pdf)
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- [Paper - style/fast-style-supp.pdf)
- [Paper ICONIP-2014
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- [Paper-arXiv15
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- [Web
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- [Blog
- [Paper - encoder)
- edge_detection
- [Paper
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- semantic_segmantation
- VOC2012_top_rankings
- leaderboards
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- [Paper-CVPR15 - arXiv15]](http://arxiv.org/pdf/1411.4038)
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- [Paper-ICML12 - PAMI13]](http://yann.lecun.com/exdb/publis/pdf/farabet-pami-13.pdf)
- [Web
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- saliency
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- understanding
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- [arXiv Paper
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- image_captioning
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- [Paper
- [Web
- [Paper
- [Paper-arXiv - CVPR]](http://www.cs.cmu.edu/~xinleic/papers/cvpr15_rnn.pdf)
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- question_answering
- [Web
- [Web
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- [Paper
- [Paper - style)
- [Paper - inf.mpg.de/departments/computer-vision-and-multimodal-computing/research/gaze-based-human-computer-interaction/appearance-based-gaze-estimation-in-the-wild-mpiigaze/)
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- Stanford
- CUHK
- Stanford
- Oxford
- NYU
- Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
- Neural Networks and Deep Learning by Michael Nielsen
- Deep Learning Tutorial by LISA lab, University of Montreal
- Deep Learning, Self-Taught Learning and Unsupervised Feature Learning By Andrew Ng
- Recent Developments in Deep Learning By Geoff Hinton
- The Unreasonable Effectiveness of Deep Learning by Yann LeCun
- Deep Learning of Representations by Yoshua bengio
- Deep Learning Course – Nando de Freitas@Oxford
- [Web
- [Web
- [torchnet
- [Web
- [Web
- [Pylearn2 - udem/blocks)], [[Keras](http://keras.io/)], [[Lasagne](https://github.com/Lasagne/Lasagne)]
- [Web
- [Web
- [Web
- [Web
- [Web
- [Web
- [Web
- [Web
- [Web
- [Web
- CVPR 2014
- CVPR 2015
- Deep down the rabbit hole: CVPR 2015 and beyond@Tombone's Computer Vision Blog
- CVPR recap and where we're going@Zoya Bylinskii (MIT PhD Student)'s Blog
- Facebook's AI Painting@Wired
- Inceptionism: Going Deeper into Neural Networks@Google Research
- Implementing Neural networks
Keywords