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Stereo matching methods based on iterative optimization, like RAFT-Stereo and IGEV-Stereo, have evolved into a cornerstone in the field of stereo matching.
A naturalistic open source movie for optical flow evaluation
Daniel J Butler, Jonas Wulff, Garrett B Stanley, and Michael J Black · 2012
Earlier work this paper cites.
Are we ready for autonomous driving? the kitti vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
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Learning phrase representations using rnn encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014
Earlier work this paper cites.
High-resolution stereo datasets with subpixel-accurate ground truth
Daniel Scharstein, Heiko Hirschmüller, York Kitajima, Greg Krathwohl, Nera Nešić, Xi Wang, and Porter Westling · 2014
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Object scene flow for autonomous vehicles
Moritz Menze and Andreas Geiger · 2015
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A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation
Nikolaus Mayer, Eddy Ilg, Philip Hausser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, and Thomas Brox · 2016
Earlier work this paper cites.
End-to-end learning of geometry and context for deep stereo regression
Alex Kendall, Hayk Martirosyan, Saumitro Dasgupta, Peter Henry, Ryan Kennedy, Abraham Bachrach, and Adam Bry · 2017
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
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A multi-view stereo benchmark with high-resolution images and multi-camera videos
Thomas Schops, Johannes L Schonberger, Silvano Galliani, Torsten Sattler, Konrad Schindler, Marc Pollefeys, and Andreas Geiger · 2017
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Pyramid stereo matching network
Jia-Ren Chang and Yong-Sheng Chen · 2018
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Falling things: A synthetic dataset for 3d object detection and pose estimation
Jonathan Tremblay, Thang To, and Stan Birchfield · 2018
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Cbam: Convolutional block attention module
Sanghyun Woo, Jongchan Park, Joon-Young Lee, and In So Kweon · 2018
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Computing receptive fields of convolutional neural networks
André Araujo, Wade Norris, and Jack Sim · 2019
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Drop an octave: Reducing spatial redundancy in convolutional neural networks with octave convolution
Yunpeng Chen, Haoqi Fan, Bing Xu, Zhicheng Yan, Yannis Kalantidis, Marcus Rohrbach, Shuicheng Yan, and Jiashi Feng · 2019
Cited alongside, same era.
Frequency separation for real-world super-resolution
Manuel Fritsche, Shuhang Gu, and Radu Timofte · 2019
Cited alongside, same era.
Group-wise correlation stereo network
Xiaoyang Guo, Kai Yang, Wukui Yang, Xiaogang Wang, and Hongsheng Li · 2019
Cited alongside, same era.
Hierarchical deep stereo matching on high-resolution images
Gengshan Yang, Joshua Manela, Michael Happold, and Deva Ramanan · 2019
Cited alongside, same era.
Ga-net: Guided aggregation net for end-to-end stereo matching
Feihu Zhang, Victor Prisacariu, Ruigang Yang, and Philip HS Torr · 2019
Cited alongside, same era.
Instereo2k: a large real dataset for stereo matching in indoor scenes
Hitnet: Hierarchical iterative tile refinement network for real-time stereo matching
Vladimir Tankovich, Christian Hane, Yinda Zhang, Adarsh Kowdle, Sean Fanello, and Sofien Bouaziz · 2021
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Region separable stereo matching
Junda Cheng, Xin Yang, Yuechuan Pu, and Peng Guo · 2022
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Practical stereo matching via cascaded recurrent network with adaptive correlation
Jiankun Li, Peisen Wang, Pengfei Xiong, Tao Cai, Ziwei Yan, Lei Yang, Jiangyu Liu, Haoqiang Fan, and Shuaicheng Liu · 2022
Later among the works it cites.
Local similarity pattern and cost self-reassembling for deep stereo matching networks
Biyang Liu, Huimin Yu, and Yangqi Long · 2022
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Fast vision transformers with hilo attention
Zizheng Pan, Jianfei Cai, and Bohan Zhuang · 2022
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Pcw-net: Pyramid combination and warping cost volume for stereo matching
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Wei Bao, Wei Wang, Yuhua Xu, Yulan Guo, Siyu Hong, and Xiaohu Zhang · 2020
Cited alongside, same era.
Hierarchical neural architecture search for deep stereo matching
Xuelian Cheng, Yiran Zhong, Mehrtash Harandi, Yuchao Dai, Xiaojun Chang, Hongdong Li, Tom Drummond, and Zongyuan Ge · 2020
Cited alongside, same era.
Raft: Recurrent all-pairs field transforms for optical flow
Zachary Teed and Jia Deng · 2020
Cited alongside, same era.
Tartanair: A dataset to push the limits of visual slam
Wenshan Wang, Delong Zhu, Xiangwei Wang, Yaoyu Hu, Yuheng Qiu, Chen Wang, Yafei Hu, Ashish Kapoor, and Sebastian Scherer · 2020
Cited alongside, same era.
Aanet: Adaptive aggregation network for efficient stereo matching
Haofei Xu and Juyong Zhang · 2020
Cited alongside, same era.
Learning in the frequency domain
Kai Xu, Minghai Qin, Fei Sun, Yuhao Wang, Yen-Kuang Chen, and Fengbo Ren · 2020
Cited alongside, same era.
Adaptive unimodal cost volume filtering for deep stereo matching
Youmin Zhang, Yimin Chen, Xiao Bai, Suihanjin Yu, Kun Yu, Zhiwei Li, and Kuiyuan Yang · 2020
Cited alongside, same era.
Zhelun Shen, Yuchao Dai, Xibin Song, Zhibo Rao, Dingfu Zhou, and Liangjun Zhang · 2022
Later among the works it cites.
Attention concatenation volume for accurate and efficient stereo matching
Gangwei Xu, Junda Cheng, Peng Guo, and Xin Yang · 2022
Later among the works it cites.
Eai-stereo: Error aware iterative network for stereo matching
Haoliang Zhao, Huizhou Zhou, Yongjun Zhang, Yong Zhao, Yitong Yang, and Ting Ouyang · 2022
Later among the works it cites.
Coatrsnet: Fully exploiting convolution and attention for stereo matching by region separation
Junda Cheng, Gangwei Xu, Peng Guo, and Xin Yang · 2023
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Mc-stereo: Multi-peak lookup and cascade search range for stereo matching
Miaojie Feng, Junda Cheng, Hao Jia, Longliang Liu, Gangwei Xu, and Xin Yang · 2023
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Croco v2: Improved cross-view completion pre-training for stereo matching and optical flow
Philippe Weinzaepfel, Thomas Lucas, Vincent Leroy, Yohann Cabon, Vaibhav Arora, Romain Brégier, Gabriela Csurka, Leonid Antsfeld, Boris Chidlovskii, and Jérôme Revaud · 2023
Later among the works it cites.
High-frequency stereo matching network
Haoliang Zhao, Huizhou Zhou, Yongjun Zhang, Jie Chen, Yitong Yang, and Yong Zhao · 2023
Later among the works it cites.