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README.md
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- en
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tags:
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- video
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pretty_name: TCA-Bench
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size_categories:
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- 1K<n<10K
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---
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# TCA-Bench
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TCA-Bench is a diagnostic benchmark for audiovisual video captioning. It evaluates base audio/visual perception, audio-visual binding, and cross-modal temporal reasoning using structured ground truth annotations.
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The benchmark contains 459 anonymized short videos. All annotation files use the anonymized mp4 filename as `id`, matching files in `videos/`.
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title = {Temporal and Cross-Modal Alignment for Enhanced Audiovisual Video Captioning},
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year = {2026}
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}
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```
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- en
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tags:
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- video
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- eccv-2026
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- audiovisual-captioning
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pretty_name: TCA-Bench
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---
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# TCA-Bench
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Official ECCV 2026 benchmark release for the paper "Temporal and Cross-modal Alignment for Enhanced Audiovisual Video Captioning."
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TCA-Bench is a diagnostic benchmark for audiovisual video captioning. It evaluates base audio/visual perception, audio-visual binding, and cross-modal temporal reasoning using structured ground truth annotations.
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The benchmark contains 459 anonymized short videos. All annotation files use the anonymized mp4 filename as `id`, matching files in `videos/`.
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title = {Temporal and Cross-Modal Alignment for Enhanced Audiovisual Video Captioning},
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year = {2026}
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}
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```
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