TimoSaemann / Enet
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Stars: ✭ 530
Programming Languages
python
139335 projects - #7 most used programming language
Projects that are alternatives of or similar to Enet
ESANet
ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis
Stars: ✭ 154 (-70.94%)
Mutual labels: real-time, semantic-segmentation
Lightweight Segmentation
Lightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).
Stars: ✭ 261 (-50.75%)
Mutual labels: semantic-segmentation, real-time
hyperseg
HyperSeg - Official PyTorch Implementation
Stars: ✭ 174 (-67.17%)
Mutual labels: real-time, semantic-segmentation
Dsrg
Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).
Stars: ✭ 206 (-61.13%)
Mutual labels: semantic-segmentation, caffe
Icnet Tensorflow
TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".
Stars: ✭ 396 (-25.28%)
Mutual labels: semantic-segmentation, real-time
Scale-Adaptive-Network
Semantic Image Segmentation by Scale-Adaptive Networks (TIP 2019)
Stars: ✭ 42 (-92.08%)
Mutual labels: caffe, semantic-segmentation
adversarial-attacks
Code for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"
Stars: ✭ 90 (-83.02%)
Mutual labels: caffe, semantic-segmentation
Real Time Semantic Segmentation
lightweight and efficient cnn for semantic segmentation, my blog address:
Stars: ✭ 118 (-77.74%)
Mutual labels: semantic-segmentation, real-time
Vpgnet
VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)
Stars: ✭ 382 (-27.92%)
Mutual labels: semantic-segmentation, caffe
Kimera Semantics
Real-Time 3D Semantic Reconstruction from 2D data
Stars: ✭ 368 (-30.57%)
Mutual labels: semantic-segmentation, real-time
Pixelnet
The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.
Stars: ✭ 194 (-63.4%)
Mutual labels: semantic-segmentation, caffe
Lednet
LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation
Stars: ✭ 450 (-15.09%)
Mutual labels: semantic-segmentation, real-time
Multi Task Refinenet
Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet
Stars: ✭ 139 (-73.77%)
Mutual labels: semantic-segmentation, real-time
PSPNet-Pytorch
Implemetation of Pyramid Scene Parsing Network in Pytorch
Stars: ✭ 26 (-95.09%)
Mutual labels: caffe, semantic-segmentation
Nas Segm Pytorch
Code for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19
Stars: ✭ 126 (-76.23%)
Mutual labels: semantic-segmentation, real-time
AttaNet
AttaNet for real-time semantic segmentation.
Stars: ✭ 37 (-93.02%)
Mutual labels: real-time, semantic-segmentation
Esnet
ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation
Stars: ✭ 88 (-83.4%)
Mutual labels: semantic-segmentation, real-time
Dabnet
Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation (BMVC2019)
Stars: ✭ 109 (-79.43%)
Mutual labels: semantic-segmentation, real-time
Cascaded Fcn
Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"
Stars: ✭ 296 (-44.15%)
Mutual labels: semantic-segmentation, caffe
Openpose
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Stars: ✭ 22,892 (+4219.25%)
Mutual labels: caffe, real-time
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.
Publication
This work has been published in arXiv: ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation.
ModelDepot
Also available on ModelDepot.
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/
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].