ShuffleSeg: Real-time Semantic Segmentation Network
@article{Gamal2018ShuffleSegRS, title={ShuffleSeg: Real-time Semantic Segmentation Network}, author={M. Gamal and M. Siam and Moemen Abdel-Razek}, journal={ArXiv}, year={2018}, volume={abs/1803.03816} }
Real-time semantic segmentation is of significant importance for mobile and robotics related applications. [...] Key Method An ablation study of different decoding methods is compared including Skip architecture, UNet, and Dilation Frontend. Interesting insights on the speed and accuracy tradeoff is discussed.Expand Abstract
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RTSeg: Real-time Semantic Segmentation Comparative Study
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References
SHOWING 1-10 OF 21 REFERENCES
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
- Computer Science
- ArXiv
- 2016
- 853
- Highly Influential
- PDF
LinkNet: Exploiting encoder representations for efficient semantic segmentation
- Computer Science
- 2017 IEEE Visual Communications and Image Processing (VCIP)
- 2017
- 313
- PDF
The Cityscapes Dataset for Semantic Urban Scene Understanding
- Computer Science
- 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- 2016
- 3,854
- PDF
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- Computer Science, Medicine
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- 2017
- 5,475
- Highly Influential
- PDF
SegICP-DSR: Dense Semantic Scene Reconstruction and Registration
- Computer Science, Engineering
- ArXiv
- 2017
- 7
- PDF
Multi-Scale Context Aggregation by Dilated Convolutions
- Computer Science
- ICLR
- 2016
- 3,883
- Highly Influential
- PDF
U-Net: Convolutional Networks for Biomedical Image Segmentation
- Computer Science
- MICCAI
- 2015
- 19,186
- Highly Influential
- PDF
Going deeper with convolutions
- Computer Science
- 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
- 2015
- 22,341
- PDF
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
- Computer Science
- ECCV
- 2016
- 1,687
- PDF
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
- Computer Science
- ArXiv
- 2017
- 6,280
- PDF