Accueil Actualités Articles de recherche récents Tutoriels Ensembles de données Wiki SOTA Modèles LLM Classement GPU Événements

Français

Zero Shot Video Question Answer On Intentqa

Métriques

Accuracy

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	Accuracy	Paper Title	Repository
IG-VLM	65.3	An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM
VideoTree (GPT4)	66.9	VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos
VidCtx (7B)	67.1	VidCtx: Context-aware Video Question Answering with Image Models	-
LLoVi (GPT-4)	64.0	A Simple LLM Framework for Long-Range Video Question-Answering
LangRepo (12B)	59.1	Language Repository for Long Video Understanding
SeViLA (4B)	60.9	Self-Chained Image-Language Model for Video Localization and Question Answering
LVNet	71.1	Too Many Frames, Not All Useful: Efficient Strategies for Long-Form Video QA
ENTER	71.5	ENTER: Event Based Interpretable Reasoning for VideoQA	-
LLoVi (7B)	53.6	A Simple LLM Framework for Long-Range Video Question-Answering
Mistral (7B)	50.4	Mistral 7B
TS-LLaVA-34B	67.9	TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models
SlowFast-LLaVA-34B	60.1	SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models
Random	20.0	-	-

0 of 13 row(s) selected.