1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2024
ACT-Bench: Towards Action Controllable World Models for Autonomous Driving
Hidehisa Arai, Keishi Ishihara, Tsubasa Takahashi +1
World models have emerged as promising neural simulators for autonomous driving, with the potential to supplement scarce real-world data and enable closed-loop evaluations. However…
cs.CV2024★ 1 cited
Heron-Bench: A Benchmark for Evaluating Vision Language Models in Japanese
Yuichi Inoue, Kento Sasaki, Yuma Ochi +3
Vision Language Models (VLMs) have undergone a rapid evolution, giving rise to significant advancements in the realm of multimodal understanding tasks. However, the majority of the…