-
Notifications
You must be signed in to change notification settings - Fork 5
Image Segmentation
Enrique G. Paredes edited this page Jan 12, 2018
·
6 revisions
Separating human characters (foreground) from the environment (background) and recognize different elements of the characters (body parts, clothes, etc.) and scene (animals, vehicles, buildings, etc.).
- Initial approach: an adaption of Noyans' tools.
- Advanced approach: segmantic segmentation with CNNs.
- Alberto Garcia-Garcia et al. A Review on Deep Learning Techniques Applied to Semantic Segmentation [April 2017]. (https://arxiv.org/abs/1704.06857)
- Sasank Chilamkurthy. A 2017 Guide to Semantic Segmentation with Deep Learning [July 2017]. (http://blog.qure.ai/notes/semantic-segmentation-deep-learning-review#sec-1)
- Meet Pragnesh Shah. Semantic Segmentation using Fully Convolutional Networks over the years [June 2017]. (https://meetshah1995.github.io/semantic-segmentation/deep-learning/pytorch/visdom/2017/06/01/semantic-segmentation-over-the-years.html)
- Mrgloom's GitHub. Awesome Semantic Segmentation: Pre-trained network and resources [Up-to-date]. (https://github.com/mrgloom/awesome-semantic-segmentation)
- Holger Caesar. Really Awesome Semantic Segmentation [September 2017]. (https://github.com/nightrome/really-awesome-semantic-segmentation)
- Adrian Rosebrock. Object detection with deep learning and OpenCV [September 2017]. (https://www.pyimagesearch.com/2017/09/11/object-detection-with-deep-learning-and-opencv/)