Compressive Self-localization Using Relative Attribute Embedding
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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.
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
4 of 17 references.
References · 4
- 2021Where is your place, Visual Place Recognition?cited by 82
- 2015On the Performance of ConvNet Features for Place Recognitioncited by 72
- 2015Deep Relative Attributescited by 12
- 2021Deep SIMBAD: Active Landmark-based Self-localization Using Ranking -based Scene Descriptorcited by 1
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