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Video Retrieval On Youcook2

Metrics

text-to-video Median Rank

text-to-video R@1

text-to-video R@10

Results

Performance results of various models on this benchmark

				Paper Title	Repository
VAST	-	50.4	80.8	VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset
VideoCLIP	-	32.2	75.0	VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding
UniVL + MELTR	3	33.7	74.8	MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models
MDMMT-2	3.0	32.0	74.8	MDMMT-2: Multidomain Multimodal Transformer for Video Retrieval, One More Step Towards Generalization	-
TACo	4	29.6	72.7	TACo: Token-aware Cascade Contrastive Learning for Video-Text Alignment	-
OmniVec	-	-	70.8	OmniVec: Learning robust representations with cross modal sharing	-
UniVL	4	28.9	70.0	UniVL: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation
VLM	4	27.05	69.38	VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding
OmniVec (pretrained)	-	-	64.2	OmniVec: Learning robust representations with cross modal sharing	-
VideoCLIP (zero-shot)	-	22.7	63.1	VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding
VideoCoCa (zero-shot)	-	21.7	55.2	VideoCoCa: Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners	-
COOT	9	16.7	52.3	COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning
Text-Video Embedding	24	8.2	35.3	HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips
RoME	53	6.3	25.2	RoME: Role-aware Mixture-of-Expert Transformer for Text-to-Video Retrieval
HGLMM FV CCA	75	4.6	21.6	Associating Neural Word Embeddings With Deep Image Representations Using Fisher Vectors	-
Satar et al.	77	5.3	20.8	Semantic Role Aware Correlation Transformer for Text to Video Retrieval

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Video Retrieval On Youcook2 | SOTA | HyperAI