Loss it right: Euclidean and Riemannian Metrics in Learning-based Visual Odometry

19 December 2023

Papers citing "Loss it right: Euclidean and Riemannian Metrics in Learning-based Visual Odometry"

8 / 8 papers shown

Title
Monocular visual simultaneous localization and mapping: (r)evolution from geometry to deep learning-based pipelines Olaya Álvarez-Tunón Yury Brodskiy Erdal Kayacan 240 6 0 04 Mar 2025
Leveraging Equivariant Features for Absolute Pose Regression M. A. Musallam Vincent Gaudillière M. O. D. Castillo Kassem Al Ismaeil Djamila Aouada 101 22 0 05 Apr 2022
Rigidity Preserving Image Transformations and Equivariance in Perspective Lucas Brynte Georg Bökman Axel Flinth Fredrik Kahl 60 3 0 31 Jan 2022
TartanVO: A Generalizable Learning-based VO Wenshan Wang Yaoyu Hu Sebastian Scherer 59 158 0 31 Oct 2020
AtLoc: Attention Guided Camera Localization Bing Wang Changhao Chen Chris Xiaoxuan Lu Peijun Zhao A. Trigoni Andrew Markham 72 156 0 08 Sep 2019
Understanding the Limitations of CNN-based Absolute Camera Pose Regression Torsten Sattler Qunjie Zhou Marc Pollefeys Laura Leal-Taixe SSL 91 385 0 18 Mar 2019
DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks Sen Wang R. Clark Hongkai Wen A. Trigoni 73 785 0 25 Sep 2017
FlowNet: Learning Optical Flow with Convolutional Networks Philipp Fischer Alexey Dosovitskiy Eddy Ilg Philip Häusser C. Hazirbas Vladimir Golkov Patrick van der Smagt Daniel Cremers Thomas Brox 3DPC 347 4,181 0 26 Apr 2015