June 6, 2024, 4:49 a.m. | Pedro Azevedo, Emanuella Ara\'ujo, Gabriel Pierre, Willams de Lima Costa, Jo\~ao Marcelo Teixeira, Valter Ferreira, Roberto Jones, Veronica Teichrieb

cs.CV updates on arXiv.org arxiv.org

arXiv:2406.03273v1 Announce Type: new
Abstract: Current datasets for vehicular applications are mostly collected in North America or Europe. Models trained or evaluated on these datasets might suffer from geographical bias when deployed in other regions. Specifically, for scene classification, a highway in a Latin American country differs drastically from an Autobahn, for example, both in design and maintenance levels. We propose VWise, a novel benchmark for road-type classification and scene classification tasks, in addition to tasks focused on external contexts …

abstract america applications arxiv benchmark bias classification country cs.cv current datasets europe north america novel type

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