vanilladucky/TRINITY
TRINITY Dataset Paper: TRINITY: A Multi-Perspective Benchmark for Personal-Style Video Highlight DetectionCode: GitHub Repository TRINITY accompanies our ECCV 2026 paper "TRINITY: A Multi-Perspective Benchmark for Personal-Style Video Highlight Detection" and provides precomputed video features for three complementary highlight-detection perspectives: Emotion, Event, and Nature. Traditional highlight detection assumes a single, event-centric notion of saliency, which fails to… See the full description on the dataset page: https://huggingface.co/datasets/vanilladucky/TRINITY.
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