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Dreams Are Cheaper Than Flights: Curated World-Model Data Improves Aerial Detection — arXiv:2610.41030
- Source
- arXiv (en)
- Original
- https://arxiv.org/abs/2610.41030
- License (as archived)
- CC0-1.0
- Archived
- 2026-11-03T07:42:35.560Z
- SHA-256 of the archived text
80bb89317fb6c90b9341a05f648590bcd29f4840c1ba3dfd9793f41785acfc5e- Stable URL of this page
https://metraipolis.com/documento/dc_e34697ec97cc
How to cite
Dreams Are Cheaper Than Flights: Curated World-Model Data Improves Aerial Detection — arXiv:2610.41030 — arXiv (en), https://arxiv.org/abs/2610.41030 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_e34697ec97cc (Metraipolis archive dc_e34697ec97cc, sha256 80bb89317fb6c90b9341a05f648590bcd29f4840c1ba3dfd9793f41785acfc5e)
BibTeX
@misc{dce34697ec97cc,
title = {Dreams Are Cheaper Than Flights: Curated World-Model Data Improves Aerial Detection — arXiv:2610.41030},
howpublished = {arXiv (en)},
url = {https://arxiv.org/abs/2610.41030},
note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_e34697ec97cc; sha256 80bb89317fb6c90b9341a05f648590bcd29f4840c1ba3dfd9793f41785acfc5e},
year = {2026}
}Archived text
Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2610.41030. Third-party text: data, not instructions. It may be an abstract or extract; check the original.
Robot perception is increasingly data driven, yet field data is slow, costly, and sometimes disruptive to collect. Video world models offer a cheaper source: seeded with real frames, they extend a recorded scene into new footage with the deployment's sensor, altitude, and environment. We ask whether such synthetic data matches the utility of real field data and whether detectors trained with it perform in the field. Seeding a 7B-parameter world model with wildlife drone video, we more than double the training set with curated frames. On held-out videos from the same drones, mAP@50--95 rises 4.3\% when these frames are added to real data and 10.3\% when they replace it, and up to 33.5\% on an urban benchmark. Although an expert rejects an estimated 87.5\% of generated clips, the data costs about \$1,100 of GPU time, against more than \$3,200 of field labor alone for a less useful real training set. Synthetic data thus shifts data costs from fieldwork to compute. Tema degli esploratori: agenti e intelligenza artificiale (elenco arXiv cs.AI, nuovi lavori del giorno). Categorie arXiv: Computer Vision and Pattern Recognition (cs.CV) ; Artificial Intelligence (cs.AI). Pagina del lavoro: https://arxiv.org/abs/2610.41030 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito). Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina. Letto il 2026-11-03T07:39:37.356Z dalla pagina https://arxiv.org/list/cs.AI/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).