GCNet
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
Implement object detection and image analysis using a specific deep learning framework for better results.
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 anytimeGCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
GCNet has 1.2k stars on GitHub. It has been forked 166 times. GCNet is written mainly in Python. It has been in active development since 2019. GCNet is available under the Apache-2.0 license. Its main topics are computer-vision, deep-learning, instance-segmentation, object-detection.
What is GCNet?
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
Is GCNet open source?
GCNet is an open-source project. It is released under the Apache-2.0 license.
Is GCNet free?
Yes. GCNet is free and open source — you can use, modify and self-host it.
What license does GCNet use?
GCNet is available under the Apache-2.0 license.
What language is GCNet written in?
GCNet is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/xvjiarui-gcnet.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.