S $^3$ M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving

21 January 2024

Papers citing "S$^3$M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving"

6 / 6 papers shown

Title
Three-Filters-to-Normal+: Revisiting Discontinuity Discrimination in Depth-to-Normal Translation Jingwei Yang Bohuan Xue Yi Feng Deming Wang Rui Fan Qijun Chen 22 3 0 13 Dec 2023
Dive Deeper into Rectifying Homography for Stereo Camera Online Self-Calibration Hongbo Zhao Yikang Zhang Qijun Chen Rui Fan 8 7 0 19 Sep 2023
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes Yuanduo Hong Huihui Pan Weichao Sun Yisong Jia SSeg 120 254 0 15 Jan 2021
SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection Rui Fan H. Wang Peide Cai Ming-Yu Liu 47 147 0 26 Aug 2020
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 420 15,438 0 02 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 226 74,467 0 18 May 2015