Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with
Self-Supervised Depth Estimation

Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation

28 August 2021

Luc Van Gool

Papers citing "Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation"

8 / 8 papers shown

Title
Language-Guided Instance-Aware Domain-Adaptive Panoptic Segmentation Elham Amin Mansour Ozan Unal Suman Saha Benjamin Bejar Luc Van Gool 34 1 0 04 Apr 2024
Learning Multiple Dense Prediction Tasks from Partially Annotated Data Weihong Li Xialei Liu Hakan Bilen 26 39 0 29 Nov 2021
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation Lukas Hoyer Dengxin Dai Luc Van Gool AI4CE 14 450 0 29 Nov 2021
Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation Qin Wang Dengxin Dai Lukas Hoyer Luc Van Gool Olga Fink OOD MDE 45 139 0 28 Apr 2021
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 119 202 0 27 Apr 2021
DEAL: Difficulty-aware Active Learning for Semantic Segmentation Shuai Xie Zunlei Feng Ying Chen Songtao Sun Chao Ma Mingli Song VLM 117 50 0 17 Oct 2020
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation Zhedong Zheng Yi Yang NoLa 174 497 0 08 Mar 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,134 0 06 Jun 2015