Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and
Stereo Matching

Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching

5 April 2020

Irwin King

Michael Lyu

Papers citing "Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching"

9 / 9 papers shown

Title
TemporalStereo: Efficient Spatial-Temporal Stereo Matching Network Youming Zhang Matteo Poggi S. Mattoccia 27 13 0 24 Nov 2022
SelfD: Self-Learning Large-Scale Driving Policies From the Web Jimuyang Zhang Ruizhao Zhu Eshed Ohn-Bar 24 20 0 21 Apr 2022
ChiTransformer:Towards Reliable Stereo from Cues Qing Su Shihao Ji MDE ViT 23 12 0 09 Mar 2022
Sensor-Guided Optical Flow Matteo Poggi Filippo Aleotti S. Mattoccia 25 5 0 30 Sep 2021
Generating Superpixels for High-resolution Images with Decoupled Patch Calibration Yaxiong Wang Yuchao Wei Xueming Qian Li Zhu Yi Yang SupR 27 0 0 19 Aug 2021
NccFlow: Unsupervised Learning of Optical Flow With Non-occlusion from Geometry Guangming Wang Shuaiqi Ren Hesheng Wang 23 14 0 08 Jul 2021
SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image Warping Austin Stone Daniel Maurer Alper Ayvaci A. Angelova Rico Jonschkowski 42 81 0 14 May 2021
Stereo Matching by Self-supervision of Multiscopic Vision Weihao Yuan Yazhan Zhang Bingkun Wu Siyu Zhu P. Tan M. Y. Wang Qifeng Chen MDE 22 20 0 09 Apr 2021
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency Seokju Lee Sunghoon Im Stephen Lin In So Kweon 3DV MDE 22 88 0 04 Feb 2021