May 7, 2024, 4:48 a.m. | Li Mi, Xianjie Dai, Javiera Castillo-Navarro, Devis Tuia

cs.CV updates on arXiv.org arxiv.org

arXiv:2405.03373v1 Announce Type: new
Abstract: Image-based retrieval in large Earth observation archives is challenging because one needs to navigate across thousands of candidate matches only with the query image as a guide. By using text as information supporting the visual query, the retrieval system gains in usability, but at the same time faces difficulties due to the diversity of visual signals that cannot be summarized by a short caption only. For this reason, as a matching-based task, cross-modal text-image retrieval …

abstract archives arxiv cs.cv earth earth observation guide image images information knowledge observation query retrieval sensing text text-image text-image retrieval type usability visual

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US