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We introduce Double Cost Volume Stereo Matching Network(DCVSMNet) which is a novel architecture characterised by by two small upper (group-wise) and lower (norm correlation) cost volumes.
Are we ready for autonomous driving? the kitti vision benchmark suite
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High-resolution stereo datasets with subpixel-accurate ground truth
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Adam: A method for stochastic optimization
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Computing the stereo matching cost with a convolutional neural network
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A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation
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Stereo matching by training a convolutional neural network to compare image patches
Jure Žbontar and Yann LeCun · 2016
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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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End-to-end learning of geometry and context for deep stereo regression
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Optical flow estimation using a spatial pyramid network
Anurag Ranjan and Michael J Black · 2017
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Stereonet: Guided hierarchical refinement for real-time edge-aware depth prediction
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Segstereo: Exploiting semantic information for disparity estimation
Guorun Yang, Hengshuang Zhao, Jianping Shi, Zhidong Deng, and Jiaya Jia · 2018
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Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume
Deqing Sun, Xiaodong Yang, Ming-Yu Liu, and Jan Kautz · 2018
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Pyramid stereo matching network
Jia-Ren Chang and Yong-Sheng Chen · 2018
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Mobilenetv2: Inverted residuals and linear bottlenecks
Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, and Liang-Chieh Chen · 2018
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Anytime stereo image depth estimation on mobile devices
Yan Wang, Zihang Lai, Gao Huang, Brian H Wang, Laurens Van Der Maaten, Mark Campbell, and Kilian Q Weinberger · 2019
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Group-wise correlation stereo network
Xiaoyang Guo, Kai Yang, Wukui Yang, Xiaogang Wang, and Hongsheng Li · 2019
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Deeppruner: Learning efficient stereo matching via differentiable patchmatch
Shivam Duggal, Shenlong Wang, Wei-Chiu Ma, Rui Hu, and Raquel Urtasun · 2019
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Ga-net: Guided aggregation net for end-to-end stereo matching
Feihu Zhang, Victor Prisacariu, Ruigang Yang, and Philip HS Torr · 2019
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Semantic stereo matching with pyramid cost volumes
Zhenyao Wu, Xinyi Wu, Xiaoping Zhang, Song Wang, and Lili Ju · 2019
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Learning depth with convolutional spatial propagation network
Xinjing Cheng, Peng Wang, and Ruigang Yang · 2019
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Fast cnn stereo depth estimation through embedded gpu devices
Cristhian A Aguilera, Cristhian Aguilera, Cristóbal A Navarro, and Angel D Sappa · 2020
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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
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Aanet: Adaptive aggregation network for efficient stereo matching
Haofei Xu and Juyong Zhang · 2020
Learning efficient multi-task stereo matching network with richer feature information
Jie Wang, Sunjie Zhang, Yongxiong Wang, and Zhengyu Zhu · 2021
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Raft-stereo: Multilevel recurrent field transforms for stereo matching
Lahav Lipson, Zachary Teed, and Jia Deng · 2021
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Adaptive disparity candidates prediction network for efficient real-time stereo matching
He Dai, Xuchong Zhang, Yongli Zhao, Hongbin Sun, and Nanning Zheng · 2021
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Revisiting stereo depth estimation from a sequence-to-sequence perspective with transformers
Zhaoshuo Li, Xingtong Liu, Nathan Drenkow, Andy Ding, Francis X Creighton, Russell H Taylor, and Mathias Unberath · 2021
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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
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Edgestereo: An effective multi-task learning network for stereo matching and edge detection
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Attention-aware feature aggregation for real-time stereo matching on edge devices
Jia-Ren Chang, Pei-Chun Chang, and Yong-Sheng Chen · 2020
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Real-time semantic stereo matching
Pier Luigi Dovesi, Matteo Poggi, Lorenzo Andraghetti, Miquel Martí, Hedvig Kjellström, Alessandro Pieropan, and Stefano Mattoccia · 2020
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Domain-invariant stereo matching networks
Feihu Zhang, Xiaojuan Qi, Ruigang Yang, Victor Prisacariu, Benjamin Wah, and Philip Torr · 2020
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A decomposition model for stereo matching
Chengtang Yao, Yunde Jia, Huijun Di, Pengxiang Li, and Yuwei Wu · 2021
Cited alongside, same era.
Cfnet: Cascade and fused cost volume for robust stereo matching
Zhelun Shen, Yuchao Dai, and Zhibo Rao · 2021
Cited alongside, same era.
Attention concatenation volume for accurate and efficient stereo matching
Gangwei Xu, Junda Cheng, Peng Guo, and Xin Yang · 2022
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Local similarity pattern and cost self-reassembling for deep stereo matching networks
Biyang Liu, Huimin Yu, and Yangqi Long · 2022
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Revisiting domain generalized stereo matching networks from a feature consistency perspective
Jiawei Zhang, Xiang Wang, Xiao Bai, Chen Wang, Lei Huang, Yimin Chen, Lin Gu, Jun Zhou, Tatsuya Harada, and Edwin R Hancock · 2022
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Graftnet: Towards domain generalized stereo matching with a broad-spectrum and task-oriented feature
Biyang Liu, Huimin Yu, and Guodong Qi · 2022
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Accurate and efficient stereo matching via attention concatenation volume
Gangwei Xu, Yun Wang, Junda Cheng, Jinhui Tang, and Xin Yang · 2023
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Cgi-stereo: Accurate and real-time stereo matching via context and geometry interaction
Gangwei Xu, Huan Zhou, and Xin Yang · 2023
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Iterative geometry encoding volume for stereo matching
Gangwei Xu, Xianqi Wang, Xiaohuan Ding, and Xin Yang · 2023
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High-frequency stereo matching network
Haoliang Zhao, Huizhou Zhou, Yongjun Zhang, Jie Chen, Yitong Yang, and Yong Zhao · 2023
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Elfnet: Evidential local-global fusion for stereo matching
Jieming Lou, Weide Liu, Zhuo Chen, Fayao Liu, and Jun Cheng · 2023
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Ebstereo: edge-based loss function for real-time stereo matching
Weijie Bi, Ming Chen, Dongliu Wu, and Shenglian Lu · 2023
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Reusable architecture growth for continual stereo matching
Chenghao Zhang, Gaofeng Meng, Bin Fan, Kun Tian, Zhaoxiang Zhang, Shiming Xiang, and Chunhong Pan · 2024
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Selective-stereo: Adaptive frequency information selection for stereo matching
Xianqi Wang, Gangwei Xu, Hao Jia, and Xin Yang · 2024
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Mocha-stereo: Motif channel attention network for stereo matching
Ziyang Chen, Wei Long, He Yao, Yongjun Zhang, Bingshu Wang, Yongbin Qin, and Jia Wu · 2024
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Los: Local structure-guided stereo matching
Kunhong Li, Longguang Wang, Ye Zhang, Kaiwen Xue, Shunbo Zhou, and Yulan Guo · 2024
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