Methods > Computer Vision > Semantic Segmentation Models

ENet is a semantic segmentation architecture which utilises a compact encoder-decoder architecture. Some design choices include:

  1. Using the SegNet approach to downsampling y saving indices of elements chosen in max pooling layers, and using them to produce sparse upsampled maps in the decoder.
  2. Early downsampling to optimize the early stages of the network and reduce the cost of processing large input frames. The first two blocks of ENet heavily reduce the input size, and use only a small set of feature maps.
  3. Using PReLUs as an activation function
  4. Using dilated convolutions
  5. Using Spatial Dropout
Source: ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

Latest Papers

PAPER DATE
MyFood: A Food Segmentation and Classification System to Aid Nutritional Monitoring
Charles N. C. FreitasFilipe R. CordeiroValmir Macario
2020-12-05
Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training
Xiaofeng LiuYuzhuo HanSong BaiYi GeTianxing WangXu HanSite LiJane YouJu Lu
2020-10-21
Reinforced Wasserstein Training for Severity-Aware Semantic Segmentation in Autonomous Driving
Xiaofeng LiuYimeng ZhangXiongchang LiuSong BaiSite LiJane You
2020-08-11
Deep Learning-based Aerial Image Segmentation with Open Data for Disaster Impact Assessment
Ananya GuptaSimon WatsonHujun Yin
2020-06-10
Comparison of UNet, ENet, and BoxENet for Segmentation of Mast Cells in Scans of Histological Slices
Alexander KarimovArtem RazumovRuslana ManbatchurinaKsenia SimonovaIrina DonetsAnastasia VlasovaYulia KhramtsovaKonstantin Ushenin
2019-09-15
Learning Lightweight Lane Detection CNNs by Self Attention Distillation
| Yuenan HouZheng MaChunxiao LiuChen Change Loy
2019-08-02
DENet: A Universal Network for Counting Crowd with Varying Densities and Scales
Lei LiuJie JiangWenjing JiaSaeed AmirgholipourMichelle ZeibotsXiangjian He
2019-04-17
Real time backbone for semantic segmentation
Zhengeng YangHongshan YuQiang FuWei SunWenyan JiaMingui SunZhi-Hong Mao
2019-03-16
DSNet for Real-Time Driving Scene Semantic Segmentation
Wenfu WangZhijie Pan
2018-12-06
Efficient Semantic Segmentation for Visual Bird's-eye View Interpretation
Timo SämannKarl AmendeStefan MilzChristian WittMartin SimonJohannes Petzold
2018-11-29
SNAP: A semismooth Newton algorithm for pathwise optimization with optimal local convergence rate and oracle properties
Jian HuangYuling JiaoXiliang LuYueyong ShiQinglong Yang
2018-10-09
A Dataset of Laryngeal Endoscopic Images with Comparative Study on Convolution Neural Network Based Semantic Segmentation
| Max-Heinrich LavesJens BickerLüder A. KahrsTobias Ortmaier
2018-07-16
Mapping Road Lanes Using Laser Remission and Deep Neural Networks
Raphael V. CarneiroRafael C. NascimentoRânik GuidoliniVinicius B. CardosoThiago Oliveira-SantosClaudine BadueAlberto F. de Souza
2018-04-27
Computationally efficient cardiac views projection using 3D Convolutional Neural Networks
Matthieu LeJesse Lieman-SifryFelix LauSean SallAlbert HsiaoDaniel Golden
2017-11-03
Fast Scene Understanding for Autonomous Driving
| Davy NevenBert de BrabandereStamatios GeorgoulisMarc ProesmansLuc van Gool
2017-08-08
FastVentricle: Cardiac Segmentation with ENet
Jesse Lieman-SifryMatthieu LeFelix LauSean SallDaniel Golden
2017-04-13
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
| Adam PaszkeAbhishek ChaurasiaSangpil KimEugenio Culurciello
2016-06-07

Categories