Few-shot Domain Adaptation for IMU Denoising

v1v2v3v4 (latest)

Few-shot Domain Adaptation for IMU Denoising

5 January 2022

ArXiv (abs)PDF HTML

Papers citing "Few-shot Domain Adaptation for IMU Denoising"

10 / 10 papers shown

Title
Neural Networks Versus Conventional Filters for Inertial-Sensor-based Attitude Estimation Daniel Weber C. Gühmann Thomas Seel 37 35 0 14 May 2020
Denoising IMU Gyroscopes with Deep Learning for Open-Loop Attitude Estimation Martin Brossard Silvere Bonnabel Axel Barrau 87 130 0 25 Feb 2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation Hung-Yu Tseng Hsin-Ying Lee Jia-Bin Huang Ming-Hsuan Yang 77 393 0 23 Jan 2020
Self-Supervised Fast Adaptation for Denoising via Meta-Learning Seunghwan Lee Donghyeon Cho Jiwon Kim Tae Hyun Kim OOD 53 13 0 09 Jan 2020
Few-Shot Meta-Denoising Leslie Casas Attila Klimmek G. Carneiro Nassir Navab Vasileios Belagiannis 48 5 0 31 Jul 2019
The TUM VI Benchmark for Evaluating Visual-Inertial Odometry David Schubert Thore Goll Nikolaus Demmel V. Usenko J. Stückler Daniel Cremers 59 366 0 17 Apr 2018
Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments Peter Anderson Qi Wu Damien Teney Jake Bruce Mark Johnson Niko Sünderhauf Ian Reid Stephen Gould Anton Van Den Hengel LM&Ro 106 1,322 0 20 Nov 2017
Few-Shot Image Recognition by Predicting Parameters from Activations Siyuan Qiao Chenxi Liu Wei Shen Alan Yuille VLM 81 554 0 12 Jun 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 829 11,943 0 09 Mar 2017
Multi-Scale Context Aggregation by Dilated Convolutions Feng Yu V. Koltun SSeg 271 8,459 0 23 Nov 2015

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.