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Rodrigo Berriel

2 accepted papers

2021

Keep Your Eyes on the Lane: Real-Time Attention-Guided Lane Detection

CVPR 2021poster

Modern lane detection methods have achieved remarkable performances in complex real-world scenarios, but many have issues maintaining real-time efficiency, which is important for autonomous vehicles. In this work, we propose LaneATT: an anchor-based deep lane detection model, which, akin to other ge…

Cited by 482PDFcodeScholar
2019

Budget-Aware Adapters for Multi-Domain Learning

ICCV 2019poster

Multi-Domain Learning (MDL) refers to the problem of learning a set of models derived from a common deep architecture, each one specialized to perform a task in a certain domain (e.g., photos, sketches, paintings). This paper tackles MDL with a particular interest in obtaining domain-specific models…

Cited by 45PDFScholar