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Einblick - Video-Language Modeling
S-ViLM: Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding
S-ViLM proposes a novel framework for video-language modeling that leverages spatial grounding and temporal grouping to enhance region-object alignment and temporal-aware features.
Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding: A Comprehensive Analysis
The author argues that existing video-language pre-training methods lack fine-grained local information, proposing the S-ViLM framework to enhance region-object alignment and temporal-aware features. By incorporating spatial grounding and temporal grouping, S-ViLM outperforms existing approaches in downstream tasks.
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