ProDepth: Boosting Self-Supervised Multi-Frame Monocular Depth with Probabilistic Fusion

12 July 2024

Woo Jin Kim

Papers citing "ProDepth: Boosting Self-Supervised Multi-Frame Monocular Depth with Probabilistic Fusion"

26 / 26 papers shown

Title
Multi-Frame Self-Supervised Depth with Transformers Vitor Campagnolo Guizilini Rares Andrei Ambrus Di Chen Sergey Zakharov Adrien Gaidon ViT MDE 41 85 0 15 Apr 2022
Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation Seokju Lee François Rameau Fei Pan In So Kweon 95 33 0 13 Oct 2021
The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth Jamie Watson Oisin Mac Aodha V. Prisacariu Gabriel J. Brostow Michael Firman MDE 63 270 0 29 Apr 2021
MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera Felix Wimbauer Nan Yang Lukas von Stumberg Niclas Zeller Daniel Cremers MDE 39 86 0 24 Nov 2020
Unsupervised Monocular Depth Learning in Dynamic Scenes Hanhan Li A. Gordon Hang Zhao Vincent Casser Angelova MDE 100 136 0 30 Oct 2020
Feature-metric Loss for Self-supervised Learning of Depth and Egomotion Chang Shu Kun Yu Zhixiang Duan Kuiyuan Yang SSL MDE 65 233 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 108 321 0 14 Jul 2020
EfficientPS: Efficient Panoptic Segmentation Rohit Mohan Abhinav Valada 77 235 0 05 Apr 2020
Self-supervised Monocular Trained Depth Estimation using Self-attention and Discrete Disparity Volume A. Johnston G. Carneiro MDE 52 234 0 31 Mar 2020
Don't Forget The Past: Recurrent Depth Estimation from Monocular Video Vaishakh Patil Wouter Van Gansbeke Dengxin Dai Luc Van Gool MDE 62 129 0 08 Jan 2020
Scalability in Perception for Autonomous Driving: Waymo Open Dataset Pei Sun Henrik Kretzschmar Xerxes Dotiwalla Aurelien Chouard Vijaysai Patnaik ... Shuyang Cheng Yu Zhang Jonathon Shlens Zhifeng Chen Dragomir Anguelov 101 2,875 0 10 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 391 42,299 0 03 Dec 2019
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video Jiawang Bian Zhichao Li Naiyan Wang Huangying Zhan Chunhua Shen Ming-Ming Cheng Ian Reid MDE 75 509 0 28 Aug 2019
Enforcing geometric constraints of virtual normal for depth prediction Wei Yin Yifan Liu Chunhua Shen Youliang Yan 3DV MDE 112 426 0 29 Jul 2019
Self-supervised Learning with Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera Yuhua Chen Cordelia Schmid C. Sminchisescu SSL MDE 67 245 0 12 Jul 2019
Unsupervised Monocular Depth and Ego-motion Learning with Structure and Semantics Vincent Casser S. Pirk R. Mahjourian A. Angelova MDE 64 104 0 12 Jun 2019
3D Packing for Self-Supervised Monocular Depth Estimation Vitor Campagnolo Guizilini Rares Andrei Ambrus Sudeep Pillai Allan Raventos Adrien Gaidon SSL 3DPC MDE 79 645 0 06 May 2019
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction Huangying Zhan Ravi Garg C. Weerasekera Kejie Li Harsh Agarwal Ian Reid MDE 50 632 0 11 Mar 2018
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose Zhichao Yin Jianping Shi MDE 41 1,141 0 06 Mar 2018
Sparsity Invariant CNNs J. Uhrig N. Schneider Lukas Schneider Uwe Franke Thomas Brox Andreas Geiger 124 826 0 22 Aug 2017
SfM-Net: Learning of Structure and Motion from Video Sudheendra Vijayanarasimhan Susanna Ricco Cordelia Schmid Rahul Sukthankar Katerina Fragkiadaki MDE 66 440 0 25 Apr 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 342 4,700 0 15 Mar 2017
Semi-Supervised Deep Learning for Monocular Depth Map Prediction Yevhen Kuznietsov J. Stückler Bastian Leibe MDE SSL 141 669 0 09 Feb 2017
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 1.0K 11,587 0 06 Apr 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.6K 149,842 0 22 Dec 2014
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture David Eigen Rob Fergus VLM MDE 197 2,679 0 18 Nov 2014