The new VRU-Accident benchmark (1K videos, 6K QA pairs, 1K dense captions) shows the best evaluated MLLM reaches 66.9% on VRU-accident VQA versus 94.7% for human experts, with the weakest performance on causal and preventive reasoning.
Ex- panding performance boundaries of open-source multimodal models with model, data, and test-time scaling, 2025
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VRU-Accident: A Vision-Language Benchmark for Video Question Answering and Dense Captioning for Accident Scene Understanding
The new VRU-Accident benchmark (1K videos, 6K QA pairs, 1K dense captions) shows the best evaluated MLLM reaches 66.9% on VRU-accident VQA versus 94.7% for human experts, with the weakest performance on causal and preventive reasoning.