Two-in-One Depth: Bridging the Gap Between Monocular and Binocular Self-supervised Depth Estimation

2 September 2023

Papers citing "Two-in-One Depth: Bridging the Gap Between Monocular and Binocular Self-supervised Depth Estimation"

31 / 31 papers shown

Title
RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation Mu He Le Hui Yikai Bian J. Ren Jin Xie Jian Yang MDE 62 57 0 25 Jul 2022
Multi-Frame Self-Supervised Depth with Transformers Vitor Campagnolo Guizilini Rares Andrei Ambrus Di Chen Sergey Zakharov Adrien Gaidon ViT MDE 58 85 0 15 Apr 2022
Fine-grained Semantics-aware Representation Enhancement for Self-supervised Monocular Depth Estimation Hyun-Joo Jung Eunhyeok Park S. Yoo MDE 58 111 0 19 Aug 2021
The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth Jamie Watson Oisin Mac Aodha V. Prisacariu Gabriel J. Brostow Michael Firman MDE 80 271 0 29 Apr 2021
Unsupervised Monocular Depth Learning in Dynamic Scenes Hanhan Li A. Gordon Hang Zhao Vincent Casser Angelova MDE 108 137 0 30 Oct 2020
Parallax Attention for Unsupervised Stereo Correspondence Learning Longguang Wang Yulan Guo Yingqian Wang Zhengfa Liang Zaiping Lin Jungang Yang W. An 3DPC 101 114 0 16 Sep 2020
Reversing the cycle: self-supervised deep stereo through enhanced monocular distillation Filippo Aleotti Fabio Tosi Li Zhang Matteo Poggi S. Mattoccia SSL MDE 88 52 0 17 Aug 2020
Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability Volumes Juan Luis Gonzalez Munchurl Kim 181 87 0 09 Aug 2020
Feature-metric Loss for Self-supervised Learning of Depth and Egomotion Chang Shu Kun Yu Zhixiang Duan Kuiyuan Yang SSL MDE 80 234 0 21 Jul 2020
Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance Marvin Klingner Jan-Aike Termöhlen Jonas Mikolajczyk Tim Fingscheidt MDE 121 324 0 14 Jul 2020
The Edge of Depth: Explicit Constraints between Segmentation and Depth Shengjie Zhu Garrick Brazil Xiaoming Liu MDE 66 105 0 01 Apr 2020
Self-supervised Learning with Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera Yuhua Chen Cordelia Schmid C. Sminchisescu SSL MDE 67 246 0 12 Jul 2019
3D Packing for Self-Supervised Monocular Depth Estimation Vitor Campagnolo Guizilini Rares Andrei Ambrus Sudeep Pillai Allan Raventos Adrien Gaidon SSL 3DPC MDE 81 649 0 06 May 2019
GA-Net: Guided Aggregation Net for End-to-end Stereo Matching Feihu Zhang V. Prisacariu Ruigang Yang Philip Torr 3DV 54 686 0 13 Apr 2019
Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras A. Gordon Hanhan Li Rico Jonschkowski A. Angelova MDE 73 366 0 10 Apr 2019
Learning monocular depth estimation infusing traditional stereo knowledge Fabio Tosi Filippo Aleotti Matteo Poggi S. Mattoccia MDE 61 218 0 08 Apr 2019
Deformable ConvNets v2: More Deformable, Better Results Xizhou Zhu Han Hu Stephen Lin Jifeng Dai ObjD 118 2,019 0 27 Nov 2018
SegStereo: Exploiting Semantic Information for Disparity Estimation Guorun Yang Hengshuang Zhao Jianping Shi Zhidong Deng Jiaya Jia 69 339 0 31 Jul 2018
Deep Ordinal Regression Network for Monocular Depth Estimation Huan Fu Biwei Huang Chaohui Wang Kayhan Batmanghelich Dacheng Tao MDE 484 1,733 0 06 Jun 2018
Pyramid Stereo Matching Network Jia-Ren Chang Yonghao Chen 3DPC 128 1,509 0 23 Mar 2018
Fusion of stereo and still monocular depth estimates in a self-supervised learning context Diogo Martins K. G. Hecke Guido de Croon SSL MDE 33 22 0 20 Mar 2018
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose Zhichao Yin Jianping Shi MDE 57 1,145 0 06 Mar 2018
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 427 26,557 0 05 Sep 2017
Sparsity Invariant CNNs J. Uhrig N. Schneider Lukas Schneider Uwe Franke Thomas Brox Andreas Geiger 133 827 0 22 Aug 2017
Unsupervised Monocular Depth Estimation with Left-Right Consistency Clément Godard Oisin Mac Aodha Gabriel J. Brostow MDE 150 2,887 0 13 Sep 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding Marius Cordts Mohamed Omran Sebastian Ramos Timo Rehfeld Markus Enzweiler Rodrigo Benenson Uwe Franke Stefan Roth Bernt Schiele 1.1K 11,644 0 06 Apr 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution Justin Johnson Alexandre Alahi Li Fei-Fei SupR 251 10,264 0 27 Mar 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 305 5,534 0 23 Nov 2015
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture David Eigen Rob Fergus VLM MDE 209 2,683 0 18 Nov 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,595 0 01 Sep 2014
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network David Eigen Christian Puhrsch Rob Fergus MDE 3DPC 3DV 241 4,066 0 09 Jun 2014