Perform semantic segmentation in images using the Gated-Shape CNN model.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeGated-Shape CNN for Semantic Segmentation (ICCV 2019)
GSCNN has 938 stars on GitHub. It has been forked 200 times. GSCNN is written mainly in Python. It has been in active development since 2019. Its main topics are computer-vision, deep-learning, iccv2019, nv-tlabs.
Gated-Shape CNN for Semantic Segmentation (ICCV 2019)
GSCNN is an open-source project.
Yes. GSCNN is free and open source — you can use, modify and self-host it.
GSCNN is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/nv-tlabs-gscnn.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.