ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2009.12840
  4. Cited By
Adaptive confidence thresholding for monocular depth estimation
v1v2v3 (latest)

Adaptive confidence thresholding for monocular depth estimation

IEEE International Conference on Computer Vision (ICCV), 2020
27 September 2020
Hyesong Choi
Hunsang Lee
Sunkyung Kim
Sunok Kim
Seungryong Kim
Kwanghoon Sohn
Dongbo Min
    MDE
ArXiv (abs)PDFHTML

Papers citing "Adaptive confidence thresholding for monocular depth estimation"

21 / 21 papers shown
Extending Foundational Monocular Depth Estimators to Fisheye Cameras with Calibration Tokens
Extending Foundational Monocular Depth Estimators to Fisheye Cameras with Calibration Tokens
Suchisrit Gangopadhyay
Jung-Hee Kim
Xien Chen
Patrick Rim
Hyoungseob Park
Alex Wong
MDEFedML
393
6
0
06 Aug 2025
The Fourth Monocular Depth Estimation Challenge
The Fourth Monocular Depth Estimation Challenge
Anton Obukhov
Matteo Poggi
Fabio Tosi
Ripudaman Singh Arora
Jaime Spencer
...
Tuan-Anh Yang
Minh-Quang Nguyen
T. Tran
Albert Luginov
Muhammad Shahzad
MDE
1.0K
5
0
24 Apr 2025
A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation
A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation
S. Landgraf
Rongjun Qin
Markus Ulrich
UQCV
378
3
0
14 Jan 2025
Hybrid-TTA: Continual Test-time Adaptation via Dynamic Domain Shift
  Detection
Hybrid-TTA: Continual Test-time Adaptation via Dynamic Domain Shift Detection
Hyewon Park
Hyejin Park
Jueun Ko
Dongbo Min
TTA
323
2
0
13 Sep 2024
iConFormer: Dynamic Parameter-Efficient Tuning with Input-Conditioned Adaptation
iConFormer: Dynamic Parameter-Efficient Tuning with Input-Conditioned Adaptation
Hayeon Jo
Hyesong Choi
Minhee Cho
Dongbo Min
410
3
0
04 Sep 2024
Collaborative Learning for Enhanced Unsupervised Domain Adaptation
Collaborative Learning for Enhanced Unsupervised Domain Adaptation
Minhee Cho
Hyesong Choi
Hayeon Jo
Dongbo Min
393
1
0
04 Sep 2024
Diffusion Models for Monocular Depth Estimation: Overcoming Challenging
  Conditions
Diffusion Models for Monocular Depth Estimation: Overcoming Challenging Conditions
Fabio Tosi
Pierluigi Zama Ramirez
Matteo Poggi
DiffMMQMDE
310
35
0
23 Jul 2024
The Third Monocular Depth Estimation Challenge
The Third Monocular Depth Estimation Challenge
Jaime Spencer
Fabio Tosi
Matteo Poggi
Ripudaman Singh Arora
Chris Russell
...
Albert Luginov
Muhammad Shahzad
Seyed Hosseini
Aleksander Trajcevski
James H. Elder
MDE
360
16
0
25 Apr 2024
FeatUp: A Model-Agnostic Framework for Features at Any Resolution
FeatUp: A Model-Agnostic Framework for Features at Any Resolution
Stephanie Fu
Mark Hamilton
Laura E. Brandt
Axel Feldmann
Zhoutong Zhang
William T. Freeman
MDE
419
114
0
15 Mar 2024
Stereo-Matching Knowledge Distilled Monocular Depth Estimation Filtered
  by Multiple Disparity Consistency
Stereo-Matching Knowledge Distilled Monocular Depth Estimation Filtered by Multiple Disparity ConsistencyIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Woonghyun Ka
Jae Young Lee
Jaehyun Choi
Junmo Kim
MDE
236
0
0
22 Jan 2024
AugUndo: Scaling Up Augmentations for Unsupervised Depth Completion
AugUndo: Scaling Up Augmentations for Unsupervised Depth Completion
Yangchao Wu
Tian Yu Liu
Hyoungseob Park
Stefano Soatto
Dong Lao
Alex Wong
439
15
0
15 Oct 2023
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for
  Depth Estimation
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth EstimationConference on Robot Learning (CoRL), 2023
Zizhang Wu
Zhuozheng Li
Zhi-Gang Fan
Yunzhe Wu
Xiaoquan Wang
Rui Tang
Jian Pu
406
3
0
26 Sep 2023
Depth Completion with Multiple Balanced Bases and Confidence for Dense Monocular SLAM
Depth Completion with Multiple Balanced Bases and Confidence for Dense Monocular SLAMIEEE Transactions on Visualization and Computer Graphics (TVCG), 2023
Weijian Xie
Guanyi Chu
Quanhao Qian
Yihao Yu
Hai Li
Danpeng Chen
Shangjin Zhai
Nan Wang
Hujun Bao
Guofeng Zhang
MDE
359
4
0
08 Sep 2023
Two-in-One Depth: Bridging the Gap Between Monocular and Binocular
  Self-supervised Depth Estimation
Two-in-One Depth: Bridging the Gap Between Monocular and Binocular Self-supervised Depth EstimationIEEE International Conference on Computer Vision (ICCV), 2023
Zhengming Zhou
Qiulei Dong
MDE
251
16
0
02 Sep 2023
Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation
Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation
Mochu Xiang
Jing Zhang
Nick Barnes
Yuchao Dai
UQCV
214
8
0
19 Jul 2023
MaskingDepth: Masked Consistency Regularization for Semi-supervised
  Monocular Depth Estimation
MaskingDepth: Masked Consistency Regularization for Semi-supervised Monocular Depth EstimationIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Jongbeom Baek
Gyeongnyeon Kim
Seonghoon Park
Honggyu An
Matteo Poggi
Seung Wook Kim
MDE
335
0
0
21 Dec 2022
Self-distilled Feature Aggregation for Self-supervised Monocular Depth
  Estimation
Self-distilled Feature Aggregation for Self-supervised Monocular Depth EstimationEuropean Conference on Computer Vision (ECCV), 2022
Zhengming Zhou
Qiulei Dong
MDE
246
38
0
15 Sep 2022
ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency
  Regularization
ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency RegularizationEuropean Conference on Computer Vision (ECCV), 2022
Jiwon Kim
Youngjo Min
Daehwan Kim
Gyuseong Lee
Junyoung Seo
Kwang-seok Ryoo
Seung Wook Kim
291
65
0
18 Aug 2022
MonoViT: Self-Supervised Monocular Depth Estimation with a Vision
  Transformer
MonoViT: Self-Supervised Monocular Depth Estimation with a Vision TransformerInternational Conference on 3D Vision (3DV), 2022
Chaoqiang Zhao
Youming Zhang
Matteo Poggi
Fabio Tosi
Xianda Guo
Zheng Zhu
Guan Huang
Yang Tang
S. Mattoccia
ViTMDE
445
283
0
06 Aug 2022
Semi-Supervised Learning with Mutual Distillation for Monocular Depth
  Estimation
Semi-Supervised Learning with Mutual Distillation for Monocular Depth EstimationIEEE International Conference on Robotics and Automation (ICRA), 2022
Jongbeom Baek
Gyeongnyeon Kim
Seung Wook Kim
FedMLMDE
276
16
0
18 Mar 2022
Forget About the LiDAR: Self-Supervised Depth Estimators with MED
  Probability Volumes
Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability VolumesNeural Information Processing Systems (NeurIPS), 2020
Juan Luis Gonzalez
Munchurl Kim
552
97
0
09 Aug 2020
1
Page 1 of 1