segment-correction-net
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Paper ibrahim et al, cvpr 2020 - Semi-Supervised Semantic Image Segmentation With Self-Correcting Networks
Semi-Supervised Semantic Image Segmentation With Self-Correcting Networks. Mostafa S. Ibrahim, Arash Vahdat, Mani Ranjbar, William G. Macready. IEEE Computer Vision and Pattern Recognition 2020
Contents
- Code
- Model
- Links
- Citation
Code
- I am still trying to get permission from the Company, Dwave
- Our code is based on this deeplabv3+ repo. Our changes mainly:
- Extention to their loss function with extra Cross Entropy calls for the self-correction modules
- A small cnn network for merging logits
- A small cnn to encode the bbounding box and inject in the decoder at some scale (Deeplab uses 2 scales)
- Several scripts to prepare the data to be saved/loaded from the ancilary model
Model


Links
- 15-min video presentation in English / Arabic
- For detailed Slides / Slides pdf
Citation
@inproceedings{msibrahiCVPR20segmentcorrectionnet,
author = {Mostafa S. Ibrahim and Arash Vahdat and Mani Ranjbar and William G. Macready},
title = {Semi-Supervised Semantic Image Segmentation With Self-Correcting Networks.},
booktitle = {2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2020}
}