English

Compressive Self-localization Using Relative Attribute Embedding

Computer Vision and Pattern Recognition 2022-08-19 v1 Robotics

Abstract

The use of relative attribute (e.g., beautiful, safe, convenient) -based image embeddings in visual place recognition, as a domain-adaptive compact image descriptor that is orthogonal to the typical approach of absolute attribute (e.g., color, shape, texture) -based image embeddings, is explored in this paper.

Keywords

Cite

@article{arxiv.2208.08863,
  title  = {Compressive Self-localization Using Relative Attribute Embedding},
  author = {Ryogo Yamamoto and Kanji Tanaka},
  journal= {arXiv preprint arXiv:2208.08863},
  year   = {2022}
}

Comments

3 pages, 4 figures, An extended abstract version of a manuscript submitted to an international conference

R2 v1 2026-06-25T01:47:57.500Z