- Fully Convolutional Network from VGG16 in keras https://people.eecs.berkeley.edu/~jonlong/long_shelhamer_fcn.pdf 3 comments learnmachinelearning
Linking pages
- Grasp2Vec: Learning Object Representations from Self-Supervised Grasping – Google AI Blog https://ai.googleblog.com/2018/12/grasp2vec-learning-object.html 9 comments
- GitHub - onnx/models: A collection of pre-trained, state-of-the-art models in the ONNX format https://github.com/onnx/models 3 comments
- Mobile Real-time Video Segmentation – Google AI Blog https://research.googleblog.com/2018/03/mobile-real-time-video-segmentation.html 0 comments
- GitHub - junyanz/CatPapers: Cool vision, learning, and graphics papers on Cats! https://github.com/junyanz/CatPapers 0 comments
- Rediscovering Semantic Segmentation | by Farhan Ahmad | 100 Shades of Machine Learning | Medium https://medium.com/100-shades-of-machine-learning/https-medium-com-100-shades-of-machine-learning-rediscovering-semantic-segmentation-part1-83e1462e0805 0 comments
- Ridiculously Fast Shot Boundary Detection with Fully Convolutional Neural Networks | by Michael Gygli | Gifs.com Artificial Intelligence Blog | Medium https://medium.com/@GygliMichael/ridiculously-fast-shot-boundary-detection-with-fully-convolutional-neural-networks-da9d8c73e86c 0 comments
- End-to-end machine learning workflows using TensorFlow and Labelbox | by Feynman Liang | Medium https://medium.com/@feynman/end-to-end-machine-learning-workflows-using-tensorflow-and-labelbox-3a7c1f19193d 0 comments
- GitHub - xetdata/onnx-models: A copy of ONNX models, datasets, and code all in one GitHub repository. Follow the README to learn more. https://github.com/xetdata/onnx-models 0 comments
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