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Action Segmentation On Coin

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Frame accuracy

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname
Frame accuracy
Paper TitleRepository
Norton69.8Multi-granularity Correspondence Learning from Long-term Noisy Videos-
VLM68.4VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding-
CBT53.9End-to-End Learning of Visual Representations from Uncurated Instructional Videos-
MIL-NCE61.0End-to-End Learning of Visual Representations from Uncurated Instructional Videos-
VideoClip68.7VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding-
UnLoc-L72.8UnLoc: A Unified Framework for Video Localization Tasks-
TACo68.4TACo: Token-aware Cascade Contrastive Learning for Video-Text Alignment-
ActBERT57.0ActBERT: Learning Global-Local Video-Text Representations-
Univl70.0UniVL: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation-
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Action Segmentation On Coin | SOTA | HyperAI