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Zero Shot Video Question Answer On Egoschema

Métriques

Accuracy

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	Accuracy	Paper Title	Repository
VideoChat2_HD_mistral	65.6	MVBench: A Comprehensive Multi-modal Video Understanding Benchmark	-
MVU (13B)	60.3	Understanding Long Videos with Multimodal Language Models	-
Random	20.0	-	-
LangRepo (12B)	66.2	Language Repository for Long Video Understanding	-
LLoVi (7B)	50.8	A Simple LLM Framework for Long-Range Video Question-Answering	-
SlowFast-LLaVA-34B	47.2	SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models	-
LLoVi (GPT-3.5)	57.6	A Simple LLM Framework for Long-Range Video Question-Answering	-
Tarsier (34B)	68.6	Tarsier: Recipes for Training and Evaluating Large Video Description Models	-
SeViLA (4B)	25.7	Self-Chained Image-Language Model for Video Localization and Question Answering	-
LVNet	66.0	Too Many Frames, Not All Useful: Efficient Strategies for Long-Form Video QA	-
TS-LLaVA-34B	57.8	TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models	-
VideoTree (GPT4)	66.2	VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos	-
VideoChat2_mistral	63.6	MVBench: A Comprehensive Multi-modal Video Understanding Benchmark	-

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Zero Shot Video Question Answer On Egoschema | SOTA | HyperAI