An Active and Contrastive Learning Framework for Fine-Grained Off-Road Semantic Segmentation

18 February 2022

Papers citing "An Active and Contrastive Learning Framework for Fine-Grained Off-Road Semantic Segmentation"

8 / 8 papers shown

Title
SS-ADA: A Semi-Supervised Active Domain Adaptation Framework for Semantic Segmentation Weihao Yan Yeqiang Qian Yueyuan Li Tao Li Chunxiang Wang Ming Yang 46 1 0 17 Jun 2024
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank Inigo Alonso Alberto Sabater David Ferstl Luis Montesano Ana C. Murillo SSL CLL 121 203 0 27 Apr 2021
Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning Weizhe Liu David Ferstl S. Schulter L. Zebedin Pascal Fua C. Leistner 92 38 0 22 Apr 2021
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals Wouter Van Gansbeke Simon Vandenhende Stamatios Georgoulis Luc Van Gool SSL 188 250 0 11 Feb 2021
DEAL: Difficulty-aware Active Learning for Semantic Segmentation Shuai Xie Zunlei Feng Ying Chen Songtao Sun Chao Ma Mingli Song VLM 122 50 0 17 Oct 2020
Off-Road Drivable Area Extraction Using 3D LiDAR Data Biao Gao A. Xu Yancheng Pan Xijun Zhao W. Yao Huijing Zhao 3DPC 23 25 0 10 Mar 2020
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and Challenges Mennatullah Siam Sara Elkerdawy Martin Jägersand S. Yogamani 119 166 0 08 Jul 2017
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 446 15,637 0 02 Nov 2015