1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2022★ 1 cited
Semi-supervised Vector-Quantization in Visual SLAM using HGCN
Amir Zarringhalam, Saeed Shiry Ghidary, Ali Mohades Khorasani
In this paper, two semi-supervised appearance based loop closure detection technique, HGCN-FABMAP and HGCN-BoW are introduced. Furthermore an extension to the current state of the…
cs.RO2022
Self-supervised Vector-Quantization in Visual SLAM using Deep Convolutional Autoencoders
Amir Zarringhalam, Saeed Shiry Ghidary, Ali Mohades Khorasani
In this paper, we introduce AE-FABMAP, a new self-supervised bag of words-based SLAM method. We also present AE-ORB-SLAM, a modified version of the current state of the art BoW-bas…