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Zero Shot Video Retrieval On Activitynet

Metrics

text-to-video R@1

video-to-text R@1

Results

Performance results of various models on this benchmark

			Paper Title	Repository
InternVideo2-6B	63.2	56.5	InternVideo2: Scaling Foundation Models for Multimodal Video Understanding
InternVideo2-1B	60.4	54.8	InternVideo2: Scaling Foundation Models for Multimodal Video Understanding
GRAM	59.0	50.9	Gramian Multimodal Representation Learning and Alignment
vid-TLDR (UMT-L)	42.8	41.2	vid-TLDR: Training Free Token merging for Light-weight Video Transformer
UMT-L (ViT-L/16)	42.8	40.7	Unmasked Teacher: Towards Training-Efficient Video Foundation Models
LanguageBind(ViT-H/14)	41.0	39.1	LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment
LanguageBind(ViT-L/14)	38.4	35.7	LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment
BT-Adapter	37.0	-	BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning
VideoCoCa	34.5	33.0	VideoCoCa: Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners	-
Singularity-temporal-5M	30.8	-	Revealing Single Frame Bias for Video-and-Language Learning
InternVideo	30.7	31.4	InternVideo: General Video Foundation Models via Generative and Discriminative Learning
Singularity-temporal-17M	30.6	-	Revealing Single Frame Bias for Video-and-Language Learning

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Zero Shot Video Retrieval On Activitynet | SOTA | HyperAI