# Compressive Self-localization Using Relative Attribute Embedding

arXiv: https://arxiv.org/abs/2208.08863 · HTML: https://mlsanity.com/paper/2208.08863/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 4 of its 17 references that are in the map.
- First posted on arXiv 3 Aug 2022.

## Builds on (most cited first, 4 of 4)

- [Where is your place, Visual Place Recognition?](https://mlsanity.com/paper/2103.06443/) (2021)
- [On the Performance of ConvNet Features for Place Recognition](https://mlsanity.com/paper/1501.04158/) (2015)
- [Deep Relative Attributes](https://mlsanity.com/paper/1512.04103/) (2015)
- [Deep SIMBAD: Active Landmark-based Self-localization Using Ranking -based Scene Descriptor](https://mlsanity.com/paper/2109.02786/) (2021)

## Abstract (arXiv)

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.