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Digging Into Uncertainty-based Pseudo-label for Robust Stereo Matching [article]

Zhelun Shen, Xibin Song, Yuchao Dai, Dingfu Zhou, Zhibo Rao, Liangjun Zhang
2023 arXiv   pre-print
In this paper, we propose to dig into uncertainty estimation for robust stereo matching.  ...  Then, to solve the limited ground truth data, an uncertainty-based pseudo-label is proposed to adapt the pre-trained model to the new domain, where pixel-level and area-level uncertainty estimation are  ...  ACKNOWLEDGMENTS This research was supported in part by the National Natural Science Foundation of China (62271410), Jiangxi Natural Science Foundations (20224BAB212009), and the Fundamental Research Funds for  ... 
arXiv:2307.16509v1 fatcat:yaocstdskzdtdemss6zhrxgb7q

DS-MVSNet: Unsupervised Multi-view Stereo via Depth Synthesis [article]

Jingliang Li, Zhengda Lu, Yiqun Wang, Ying Wang, Jun Xiao
2022 arXiv   pre-print
In recent years, supervised or unsupervised learning-based MVS methods achieved excellent performance compared with traditional methods.  ...  Furthermore, the unsupervised methods usually try to use two-step or additional inputs for training which make the procedure more complicated.  ...  They first generate initial pseudo labels and then refine the pseudo labels by iteration. However, these methods cannot be trained in an end-to-end manner.  ... 
arXiv:2208.06674v1 fatcat:v5fosoivxnbg3atanq27bzzaii

Ground Truth Data, Content, Metrics, and Analysis [chapter]

Scott Krig
2014 Computer Vision Metrics  
-Proverbs 23:23 This chapter discusses several topics pertaining to ground truth data, the basis for computer vision metric analysis.  ...  Also included here are example applications of the general robustness criteria and the general vision taxonomy developed in Chapter 5 as applied to the preparation of hypothetical ground truth data.  ...  Using Robustness Criteria for Real Applications Each application requires a different set of robustness criteria to be developed into the ground truth data.  ... 
doi:10.1007/978-1-4302-5930-5_7 fatcat:kcyba23w4fctzoaectdofa7k54

Neural Camera Models [article]

Igor Vasiljevic
2022 arXiv   pre-print
Machine-learning-aided depth perception, or depth estimation, predicts for each pixel in an image the distance to the imaged scene point.  ...  While impressive strides have been made in depth estimation, significant challenges remain: (1) ground truth depth labels are difficult and expensive to collect at scale, (2) camera information is typically  ...  RAFT-Stereo: Multilevel recurrent eld transforms for stereo matching.  ... 
arXiv:2208.12903v1 fatcat:kmmanyu7brekxdbe3ynoasq3nq

NASA Space Robotics Challenge 2 Qualification Round: An Approach to Autonomous Lunar Rover Operations [article]

Cagri Kilic, Bernardo Martinez R. Jr., Christopher A. Tatsch, Jared Beard, Jared Strader, Shounak Das, Derek Ross, Yu Gu, Guilherme A. S. Pereira, Jason N. Gross
2021 arXiv   pre-print
To achieve these objectives, algorithm design choices for the software developments need to be tested and validated for expected scenarios such as autonomous in-situ resource utilization (ISRU), localization  ...  However, real-world experiments are extremely challenging and limited for extraterrestrial environment.  ...  Baheri for helping review this paper.  ... 
arXiv:2109.09620v1 fatcat:u2jtaadq4vhddkwmmntkwpawqy

Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review [article]

Shanliang Yao, Runwei Guan, Xiaoyu Huang, Zhuoxiao Li, Xiangyu Sha, Yong Yue, Eng Gee Lim, Hyungjoon Seo, Ka Lok Man, Xiaohui Zhu, Yutao Yue
2023 arXiv   pre-print
To achieve accurate and robust perception capabilities, autonomous vehicles are often equipped with multiple sensors, making sensor fusion a crucial part of the perception system.  ...  of the radar and camera sensors, we delve into the data processing process and representations, followed by an in-depth analysis and summary of radar-camera fusion datasets.  ...  Metrics related to uncertainties, such as Probability-based Detection Quality (PDQ) [306] , may be helpful in radar-camera fusion to compare the robustness of different algorithms.  ... 
arXiv:2304.10410v1 fatcat:savqb6yeevhu7bbxnf5w5i53we

Table of Contents

2021 IEEE Robotics and Automation Letters  
Calinon 2163 Inverse Optimal Robust Adaptive Controller for Upper Limb Rehabilitation Exoskeletons With Inertia and Load Uncertainties . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Mouaddib 2264 ERASOR: Egocentric Ratio of Pseudo Occupancy-Based Dynamic Object Removal for Static 3D Point Cloud Map Building .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/lra.2021.3072707 fatcat:qyphyzqxfrgg7dxdol4qamrdqu

Interpretation of Particle Breakage under Compression Using X-ray Computed Tomography and Digital Image Correlation

Lige Wang, Jin Y. Ooi, Ian Butler
2015 Procedia Engineering  
The authors also thank the DTE Energy Company for their support in providing part of the underground utility data used in this research.  ...  For example, a fast-speed stereo matching algorithm was implemented that infers depth maps from a stereo pair of intensity bitmaps [36] .  ...  In another study, a model-based approach using a bounding box, and a depth-based approach using a stereo camera were investigated [39] .  ... 
doi:10.1016/j.proeng.2015.01.138 fatcat:i3tvnssn7ner7cl6xeepvmjm5y

3 Sperm Competition: Evolution and Mechanisms [chapter]

T.R. Birkhead
1996 Current Topics in Developmental Biology  
The authors also thank the DTE Energy Company for their support in providing part of the underground utility data used in this research.  ...  For example, a fast-speed stereo matching algorithm was implemented that infers depth maps from a stereo pair of intensity bitmaps [36] .  ...  In another study, a model-based approach using a bounding box, and a depth-based approach using a stereo camera were investigated [39] .  ... 
doi:10.1016/s0070-2153(08)60338-5 fatcat:5ef6bpzdbjfhrinju6az6vetoq

Removal of oxides from copper surface using femtosecond and nanosecond pulsed lasers

Changho Seo, Daehwan Ahn, Dongsik Kim
2015 Applied Surface Science  
The authors also thank the DTE Energy Company for their support in providing part of the underground utility data used in this research.  ...  For example, a fast-speed stereo matching algorithm was implemented that infers depth maps from a stereo pair of intensity bitmaps [36] .  ...  In another study, a model-based approach using a bounding box, and a depth-based approach using a stereo camera were investigated [39] .  ... 
doi:10.1016/j.apsusc.2015.05.011 fatcat:w46p3zbkhvcljinpazzzzakl2q

Augmented reality visualization: A review of civil infrastructure system applications

Amir H. Behzadan, Suyang Dong, Vineet R. Kamat
2015 Advanced Engineering Informatics  
The authors also thank the DTE Energy Company for their support in providing part of the underground utility data used in this research.  ...  For example, a fast-speed stereo matching algorithm was implemented that infers depth maps from a stereo pair of intensity bitmaps [36] .  ...  In another study, a model-based approach using a bounding box, and a depth-based approach using a stereo camera were investigated [39] .  ... 
doi:10.1016/j.aei.2015.03.005 fatcat:jhtu3qq54vf53beymt4pau6w4q

2021 Index IEEE Robotics and Automation Letters Vol. 6

2021 IEEE Robotics and Automation Letters  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, LRA April 2021 2501-2508 PVStereo: Pyramid Voting Module for End-to-End Self-Supervised Stereo Matching.  ...  ., +, LRA April 2021 1028-1035 PVStereo: Pyramid Voting Module for End-to-End Self-Supervised Stereo Matching.  ... 
doi:10.1109/lra.2021.3119726 fatcat:lsnerdofvveqhlv7xx7gati2xu

A Survey on Monocular Re-Localization: From the Perspective of Scene Map Representation [article]

Jinyu Miao, Kun Jiang, Tuopu Wen, Yunlong Wang, Peijing Jia, Xuhe Zhao, Qian Cheng, Zhongyang Xiao, Jin Huang, Zhihua Zhong, Diange Yang
2024 arXiv   pre-print
Numerous algorithms have accomplished extraordinary success in terms of localization accuracy and robustness.  ...  This survey can serve as a valuable referenced materials for MRL, and a continuously updated summary of this survey is publicly available to the community at: https://github.com/jinyummiao/map-in-mono-reloc  ...  Specifically, HSCNet++ [265] proposes a pseudo-labelling method, where ground-truth labels at each pixel location are propagated to a fixed spatial neighbourhood.  ... 
arXiv:2311.15643v3 fatcat:f2dkh7pmrjgsnmodgptylodv3e

Localization as a key enabler of 6G wireless systems: A comprehensive survey and an outlook [article]

Stylianos E. Trevlakis, Alexandros-Apostolos A. Boulogeorgos, Dimitrios Pliatsios, Konstantinos Ntontin, Panagiotis Sarigiannidis, Symeon Chatzinotas, Marco Di Renzo
2023 arXiv   pre-print
Afterwards, system models for millimeter wave, terahertz and visible light positioning that take into account both line-of-sight (LOS) and non-LOS channels are presented, while localization key performance  ...  Moreover, a detailed review of the state of the art conventional and learning-based localization techniques is conducted.  ...  The authors of [53] presented a survey of radio frequency identifier (RFID) based localization techniques.  ... 
arXiv:2302.02107v1 fatcat:o2dcw6mrybbntfaaowhw7zv374

Program

2020 2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)  
Based on that, we proposed the T-DDR-SGM for trinocular stereo matching.  ...  We proved that the proposed optimization methods for the trinocular stereo matching are effective and the trinocular stereo matching is useful for reducing computational complexity. pp. 732-735 16:42  ...  We first improve the accuracy of state-of-the-art results in classification of textile design patterns by 2% through data cleaning and pseudo labeling.  ... 
doi:10.1109/ccece47787.2020.9255763 fatcat:mpf7smikpfc77bu73ciqstdagm
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