A Multi-Domain Feature Learning Method for Visual Place Recognition

A Multi-Domain Feature Learning Method for Visual Place Recognition

26 February 2019

Rangaprasad Arun Srivatsan

Papers citing "A Multi-Domain Feature Learning Method for Visual Place Recognition"

10 / 10 papers shown

Title
General Place Recognition Survey: Towards Real-World Autonomy Peng Yin Jianhao Jiao Shiqi Zhao Lingyun Xu Guoquan Huang Howie Choset Sebastian A. Scherer Jianda Han 80 7 0 08 May 2024
Adversarial Training for Adverse Conditions: Robust Metric Localisation using Appearance Transfer Horia Porav William P. Maddern Paul Newman 36 97 0 09 Mar 2018
Condition directed Multi-domain Adversarial Learning for Loop Closure Detection Peng Yin Yuqing He Na Liu Jianda Han 25 3 0 21 Nov 2017
Dynamic Routing Between Capsules S. Sabour Nicholas Frosst Geoffrey E. Hinton 122 4,584 0 26 Oct 2017
Improving Condition- and Environment-Invariant Place Recognition with Semantic Place Categorization Sourav Garg A. Jacobson S. Kumar Michael Milford 35 30 0 22 Jun 2017
Attribute-Guided Face Generation Using Conditional CycleGAN Yongyi Lu Yu-Wing Tai Chi-Keung Tang GAN CVBM 68 78 0 28 May 2017
Deep Learning Features at Scale for Visual Place Recognition Zetao Chen A. Jacobson Niko Sünderhauf B. Upcroft Lingqiao Liu Chunhua Shen Ian Reid Michael Milford 51 336 0 18 Jan 2017
Asynchrony begets Momentum, with an Application to Deep Learning Jeff Donahue Philipp Krahenbuhl Stefan Hadjis Christopher Ré 87 1,827 0 31 May 2016
NetVLAD: CNN architecture for weakly supervised place recognition Relja Arandjelović Petr Gronát Akihiko Torii Tomas Pajdla Josef Sivic 3DV SSL 113 2,626 0 23 Nov 2015
On the Performance of ConvNet Features for Place Recognition Niko Sünderhauf Feras Dayoub S. Shirazi B. Upcroft Michael Milford 67 532 0 17 Jan 2015