566 citations · 839 across the 37 of their papers we have counts for
3 papers · 1 filter
TopoBDA: Towards Bezier Deformable Attention for Road Topology Understanding
Muhammet Esat Kalfaoglu, Halil Ibrahim Ozturk, Ozsel Kilinc +1
Understanding road topology is crucial for autonomous driving. This paper introduces TopoBDA (Topology with Bezier Deformable Attention), a novel approach that enhances road topolo…
Adaptive Augmentation Policy Optimization with LLM Feedback
Ant Duru, Alptekin Temizel
Data augmentation is a critical component of deep learning pipelines, enhancing model generalization by increasing dataset diversity. Traditional augmentation strategies rely on ma…
TopoMaskV2: Enhanced Instance-Mask-Based Formulation for the Road Topology Problem
M. Esat Kalfaoglu, Halil Ibrahim Ozturk, Ozsel Kilinc +1
Recently, the centerline has become a popular representation of lanes due to its advantages in solving the road topology problem. To enhance centerline prediction, we have develope…