ContextNet Segmentation DNN
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If you compare or use our network in your work, please cite the following paper:
ContextNet: Exploring Context and Detail for Semantic Segmentation in Real-time R. P. K. Poudel, U. Bonde, S. Liwicki and C. Zach BMVC 2018 / arXiv
The network design and its training process is provided in the source files, and is to be used for research only. You will require Python, Tensorflow with GPU support and OpenCV2 to run the scripts. We use the Cityscapes dataset for training.
Vision & Learning Group Latest Publications
Information contained in news and other announcements is current on the date of posting, but subject to change without notice.
2024
F Logothetis, I Budvytis, R Cipolla
WACV 2024
2023
S Morad, R Kortvelesy, S Liwicki, A Prorok,
NeurIPS 2023
2023
G Wu, C Zhang, S Liwicki,
BMVC 2023