Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation

19 December 2020

Luc Van Gool

Papers citing "Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation"

25 / 25 papers shown

Title
Hadamard product in deep learning: Introduction, Advances and Challenges Grigorios G. Chrysos Yongtao Wu Razvan Pascanu Philip Torr V. Cevher AAML 98 0 0 17 Apr 2025
Fully Exploiting Vision Foundation Model's Profound Prior Knowledge for Generalizable RGB-Depth Driving Scene Parsing Sicen Guo Tianyou Wen Chuang-Wei Liu Qijun Chen Rui Fan 55 0 0 10 Feb 2025
Structure-Centric Robust Monocular Depth Estimation via Knowledge Distillation Runze Chen Haiyong Luo Fang Zhao Jingze Yu Yupeng Jia Juan Wang Xuepeng Ma MDE 34 1 0 09 Oct 2024
MCDS-VSS: Moving Camera Dynamic Scene Video Semantic Segmentation by Filtering with Self-Supervised Geometry and Motion Angel Villar-Corrales Moritz Austermann Sven Behnke VOS 38 0 0 30 May 2024
2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation Ozan Unal Dengxin Dai Lukas Hoyer Y. Can Luc Van Gool 3DPC 15 5 0 27 Nov 2023
SegDA: Maximum Separable Segment Mask with Pseudo Labels for Domain Adaptive Semantic Segmentation Anant Khandelwal 24 1 0 10 Aug 2023
Cross-modal & Cross-domain Learning for Unsupervised LiDAR Semantic Segmentation Yiyang Chen Shanshan Zhao Changxing Ding Liyao Tang Chaoyue Wang Dacheng Tao 3DPC 18 2 0 05 Aug 2023
TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts Hanrong Ye Dan Xu MoE 34 26 0 28 Jul 2023
Fully Self-Supervised Depth Estimation from Defocus Clue Haozhe Si Bin Zhao Dong Wang Yupeng Gao Mulin. Chen Zhigang Wang Xuelong Li 38 15 0 19 Mar 2023
Leveraging the Third Dimension in Contrastive Learning Sumukh K Aithal Anirudh Goyal Alex Lamb Yoshua Bengio Michael C. Mozer MDE 29 0 0 27 Jan 2023
Learning from Mistakes: Self-Regularizing Hierarchical Representations in Point Cloud Semantic Segmentation Elena Camuffo Umberto Michieli Simone Milani 3DPC 22 4 0 26 Jan 2023
Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation Liang Zeng A. Lengyel Nergis Tomen J. C. V. Gemert AI4TS 19 0 0 25 Nov 2022
DepthFormer: Multimodal Positional Encodings and Cross-Input Attention for Transformer-Based Segmentation Networks F. Barbato Giulia Rizzoli Pietro Zanuttigh MDE ViT 28 4 0 08 Nov 2022
Composite Learning for Robust and Effective Dense Predictions Menelaos Kanakis Thomas E. Huang David Brüggemann F. I. F. Richard Yu Luc Van Gool SSL 39 3 0 13 Oct 2022
Dual Progressive Transformations for Weakly Supervised Semantic Segmentation Dong Huo Yukun Su Qingyao Wu ViT 23 4 0 30 Sep 2022
False Negative Reduction in Semantic Segmentation under Domain Shift using Depth Estimation Kira Maag Matthias Rottmann 23 3 0 07 Jul 2022
Cross-task Attention Mechanism for Dense Multi-task Learning Ivan Lopes Tuan-Hung Vu Raoul de Charette 14 26 0 17 Jun 2022
Sound and Visual Representation Learning with Multiple Pretraining Tasks A. Vasudevan Dengxin Dai Luc Van Gool SSL 31 6 0 04 Jan 2022
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation Lukas Hoyer Dengxin Dai Luc Van Gool AI4CE 21 450 0 29 Nov 2021
A Survey on Deep Learning Technique for Video Segmentation Tianfei Zhou Fatih Porikli David J. Crandall Luc Van Gool Wenguan Wang VOS 22 231 0 02 Jul 2021
Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation Qin Wang Dengxin Dai Lukas Hoyer Luc Van Gool Olga Fink OOD MDE 50 139 0 28 Apr 2021
mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets R. Gong Dengxin Dai Yuhua Chen Wen Li Luc Van Gool 19 22 0 15 Dec 2020
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
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 261 1,275 0 06 Mar 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015