← all papers · overview

Compressive Self-localization Using Relative Attribute Embedding

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.

Related papers

Ranked by semantic similarity — how closely each paper's abstract matches this one (100% = near-identical topic).