arXiv Open Access 2022

Compressive Self-localization Using Relative Attribute Embedding

Ryogo Yamamoto Kanji Tanaka
Lihat Sumber

Abstrak

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.

Topik & Kata Kunci

Penulis (2)

R

Ryogo Yamamoto

K

Kanji Tanaka

Format Sitasi

Yamamoto, R., Tanaka, K. (2022). Compressive Self-localization Using Relative Attribute Embedding. https://arxiv.org/abs/2208.08863

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2022
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓