2 papers
cs.RO2026
TaCarla: A comprehensive benchmarking dataset for end-to-end autonomous driving
Tugrul Gorgulu, Atakan Dag, M. Esat Kalfaoglu +4
Collecting a high-quality dataset is a critical task that demands meticulous attention to detail, as overlooking certain aspects can render the entire dataset unusable. Autonomous…
cs.CV2024
Bucketed Ranking-based Losses for Efficient Training of Object Detectors
Feyza Yavuz, Baris Can Cam, Adnan Harun Dogan +3
Ranking-based loss functions, such as Average Precision Loss and Rank&Sort Loss, outperform widely used score-based losses in object detection. These loss functions better align wi…