Mask Region based Convolution Neural Networks - EXPLAINED!
In this video, we will take a look at new type of neural network architecture called "Masked Region based Convolution Neural Networks", Masked R-CNN for short. And in the process, highlight some key sub problems in computer vision.
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REFERENCES
[1] Main paper: https://arxiv.org/pdf/1703.06870v3.pdf
[2] Code: https://github.com/facebookresearch/D...
[3] Convolution Neural networks: • Convolution Neural Networks - EXPLAINED
[4] Semantic segmentation in deep learning: http://blog.qure.ai/notes/semantic-se...
[5] Top papers: http://www.arxiv-sanity.com/top?timef...
[6] Recurrent Instance Segmentation: http://www.robots.ox.ac.uk/~tvg/publi...
[7] Mask R-CNN Presentation by the Author: • Mask R-CNN
[8] Mark Jay's Video: • Mask RCNN with Keras and Tensorflow (...
[9] COCO dataset: http://cocodataset.org/#home
[10] Fully Convolutional Networks: https://people.eecs.berkeley.edu/~jon...
[11] Faster R-CNN explained: / faster-r-cnn-explained
[12] Notes/summary of Masked R-CNN: http://www.shortscience.org/paper?bib...
Music at : https://www.bensound.com/royalty-free...
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