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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
| Date | Stars |
|---|---|
| 2026-07-31 | 596 |
| 2026-08-06 | 596 |
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# ENet in Caffe  ## Execution times and hardware requirements | Network | 1024x512 | 1280x720 | Parameters | Model size (fp32) | |:--------:|:----------------:|:------------------:|:------------:|:--------------:| | ENet | 20.4 ms | 32.9 ms | 0.36 M | 1.5 MB | | SegNet | 66.5 ms | 114.3 ms | 29.4 M | 117.8 MB | A comparison of computational time, number of parameters and model size required for ENet and SegNet. The caffe time command was used to compute time requirement averaged over 100 iterations. Hardware setup: Intel Xeon E5-1620v3, Titan X Pascal with cuDNN v5.1. ## Tutorial For a detailed introduction on how to train and test ENet please see the [tutorial](https://github.com/TimoSaemann/ENet/tree/master/Tutorial). ## Publication This work has been published in arXiv: [`ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation`](https://arxiv.org/abs/1606.02147). ## ModelDepot Also available on [ModelDepot](https://modeldepot.io/browse). ## License This software is released under a creative commons license which allows for personal and research use only. You can view a license summary here: http://creativecommons.org/licenses/by-nc/4.0/
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:2face1e327fdfb2d, desc:semantic segmentation