CODA
Emerging4papers using it
2024first seen
The CODA dataset/benchmark contains a collection of corner cases for autonomous driving scenarios and is used to evaluate the performance of vision-language models in comprehending these challenging situations.
Papers using CODA (4)
- Nav-ee: Navigation-guided Early Exiting For Efficient Vision-language Models In Autonomous DrivingAD-EE: Early Exiting For Fast And Reliable Vision-language Models In Autonomous DrivingGm-skip: Metric-guided Transformer Block Skipping For Efficient Vision-language ModelsRAC3: Retrieval-Augmented Corner Case Comprehension for Autonomous Driving with Vision-Language Models