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Exploiting Low-level Representations for Ultra-Fast Road Segmentation

Exploiting Low-level Representations for Ultra-Fast Road Segmentation

4 February 2024
Huan Zhou
Feng Xue
Yucong Li
Shi Gong
Yiqun Li
Yu Zhou
    AI4TS
    SSeg
ArXivPDFHTML

Papers citing "Exploiting Low-level Representations for Ultra-Fast Road Segmentation"

5 / 5 papers shown
Title
AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios
AnomalyNCD: Towards Novel Anomaly Class Discovery in Industrial Scenarios
Ziming Huang
Xurui Li
Haotian Liu
Feng Xue
Yuzhe Wang
Yu Zhou
30
0
0
18 Oct 2024
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision
  Transformer
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer
Sachin Mehta
Mohammad Rastegari
ViT
189
1,210
0
05 Oct 2021
Deep Dual-resolution Networks for Real-time and Accurate Semantic
  Segmentation of Road Scenes
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes
Yuanduo Hong
Huihui Pan
Weichao Sun
Yisong Jia
SSeg
134
260
0
15 Jan 2021
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
437
15,631
0
02 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
258
75,770
0
18 May 2015
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