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

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

19 December 2020
Lukas Hoyer
Dengxin Dai
Yuhua Chen
Adrian Köring
Suman Saha
Luc Van Gool
    3DPC
    SSL
    MDE
ArXivPDFHTML

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

24 / 24 papers shown
Title
Hadamard product in deep learning: Introduction, Advances and Challenges
Hadamard product in deep learning: Introduction, Advances and Challenges
Grigorios G. Chrysos
Yongtao Wu
Razvan Pascanu
Philip Torr
V. Cevher
AAML
96
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
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
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
34
0
0
30 May 2024
2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic
  Segmentation
2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation
Ozan Unal
Dengxin Dai
Lukas Hoyer
Y. Can
Luc Van Gool
3DPC
11
5
0
27 Nov 2023
SegDA: Maximum Separable Segment Mask with Pseudo Labels for Domain
  Adaptive Semantic Segmentation
SegDA: Maximum Separable Segment Mask with Pseudo Labels for Domain Adaptive Semantic Segmentation
Anant Khandelwal
16
1
0
10 Aug 2023
Cross-modal & Cross-domain Learning for Unsupervised LiDAR Semantic
  Segmentation
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
TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts
Hanrong Ye
Dan Xu
MoE
24
26
0
28 Jul 2023
Leveraging the Third Dimension in Contrastive Learning
Leveraging the Third Dimension in Contrastive Learning
Sumukh K Aithal
Anirudh Goyal
Alex Lamb
Yoshua Bengio
Michael C. Mozer
MDE
27
0
0
27 Jan 2023
Learning from Mistakes: Self-Regularizing Hierarchical Representations
  in Point Cloud Semantic Segmentation
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
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
DepthFormer: Multimodal Positional Encodings and Cross-Input Attention for Transformer-Based Segmentation Networks
F. Barbato
Giulia Rizzoli
Pietro Zanuttigh
MDE
ViT
25
4
0
08 Nov 2022
Composite Learning for Robust and Effective Dense Predictions
Composite Learning for Robust and Effective Dense Predictions
Menelaos Kanakis
Thomas E. Huang
David Brüggemann
F. I. F. Richard Yu
Luc Van Gool
SSL
32
3
0
13 Oct 2022
Dual Progressive Transformations for Weakly Supervised Semantic
  Segmentation
Dual Progressive Transformations for Weakly Supervised Semantic Segmentation
Dong Huo
Yukun Su
Qingyao Wu
ViT
21
4
0
30 Sep 2022
False Negative Reduction in Semantic Segmentation under Domain Shift
  using Depth Estimation
False Negative Reduction in Semantic Segmentation under Domain Shift using Depth Estimation
Kira Maag
Matthias Rottmann
16
3
0
07 Jul 2022
Cross-task Attention Mechanism for Dense Multi-task Learning
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
Sound and Visual Representation Learning with Multiple Pretraining Tasks
A. Vasudevan
Dengxin Dai
Luc Van Gool
SSL
25
6
0
04 Jan 2022
DAFormer: Improving Network Architectures and Training Strategies for
  Domain-Adaptive Semantic Segmentation
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
A Survey on Deep Learning Technique for Video Segmentation
A Survey on Deep Learning Technique for Video Segmentation
Tianfei Zhou
Fatih Porikli
David J. Crandall
Luc Van Gool
Wenguan Wang
VOS
20
230
0
02 Jul 2021
Domain Adaptive Semantic Segmentation with Self-Supervised Depth
  Estimation
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
mDALU: Multi-Source Domain Adaptation and Label Unification with Partial
  Datasets
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
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
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
244
1,275
0
06 Mar 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
249
9,134
0
06 Jun 2015
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