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

Main paper: https://arxiv.org/pdf/1703.06870v3.pdf
Code: https://github.com/facebookresearch/Detectron

Convolution Neural networks: https://www.youtube.com/watch?v=m8pOnJxOcqY
Semantic segmentation in deep learning: http://blog.qure.ai/notes/semantic-segmentation-deep-learning-review
Top papers: http://www.arxiv-sanity.com/top?timefilter=alltime&vfilter=all
Recurrent Instance Segmentation: http://www.robots.ox.ac.uk/~tvg/publications/2016/RIS7.pdf
Mask R-CNN Presentation by the Author: https://www.youtube.com/watch?v=g7z4mkfRjI4
Mark Jay's Video: https://www.youtube.com/watch?v=2TikTv6PWDw
COCO dataset: http://cocodataset.org/#home
Fully Convolutional Networks: https://people.eecs.berkeley.edu/~jonlong/long_shelhamer_fcn.pdf
Faster R-CNN explained: https://medium.com/@smallfishbigsea/faster-r-cnn-explained-864d4fb7e3f8
Notes/summary of Masked R-CNN: http://www.shortscience.org/paper?bibtexKey=journals/corr/HeGDG17#aleju

Music at : https://www.bensound.com/royalty-free-music/track/tenderness

Видео Mask Region based Convolution Neural Networks - EXPLAINED! канала CodeEmporium