Adaptive confidence thresholding for monocular depth estimation

Author:

Choi Hyesong1,Lee Hunsang2,Kim Sunkyung1,Kim Sunok3,Kim Seungryong4,Sohn Kwanghoon2,Min Dongbo1

Affiliation:

1. Ewha W. University

2. Yonsei University

3. Korea Aerospace University

4. Korea University

Publisher

IEEE

Reference57 articles.

1. U-net: Convolutional networks for biomedical image segmentation;ronneberger;International Conference on Medical Image Computing and Computer-Assisted Intervention,2015

2. Learning from scratch a confidence measure;poggi;BMVC,2016

3. Object scene flow for autonomous vehicles

4. Single View Stereo Matching

5. Depth and surface normal estimation from monocular images using regression on deep features and hierarchical crfs;li;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2015

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2. Stereo-Matching Knowledge Distilled Monocular Depth Estimation Filtered by Multiple Disparity Consistency;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. TAMDepth: self-supervised monocular depth estimation with transformer and adapter modulation;The Visual Computer;2024-03-27

4. Two-in-One Depth: Bridging the Gap Between Monocular and Binocular Self-supervised Depth Estimation;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

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