TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos

A benchmark that leads with its scoreboard: a fish-logo small-caps wordmark, a gradient venue line, then a full-width grey-headed leaderboard with zebra rows and blue model links.

friedrichor.github.io/projects/TUNATUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos
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Venue
ACL 2025
Year
2025
First author
Fanheng Kong
Field
video understanding benchmark
Template
Adapted from Video-MME (Nerfies lineage, Bulma)
Theme
Light

Checked against the rendered page.

Why it is here

A logo wordmark with small-caps branding and a tidy centered header lead into a full-width leaderboard table. The table is styled with grouped column headers, zebra rows and blue model links, a good model for presenting results tables.

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Google Sans
TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Abstract · Method · Results · BibTeX — 0123456789
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TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Abstract · Method · Results · BibTeX — 0123456789
Arial
TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Abstract · Method · Results · BibTeX — 0123456789

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