[KongchangAI]
ConceptAudio-Visual Captioning

Audio-Visual Captioning

A task that requires a model to watch a video while listening to its audio and then generate natural language captions describing the video content. It involves sub-abilities such as visual object recognition, audio event detection, temporal grounding and cross-modal association, and serves as a probe task for diagnosing the overall perceptual capability of multimodal models.

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Oct 12

OmniCapBench (Omni-Video Caption Benchmark) is a deeply structured diagnostic framework for audio-visual caption evaluation, whose prediction targets are three groups of atomic, verifiable evaluation units: entity reference, visual shot, and audio event.

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