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Zero Shot Video Question Answer On Egoschema

Metrics

Accuracy

Results

Performance results of various models on this benchmark

Model Name
Accuracy
Paper TitleRepository
VideoChat2_HD_mistral65.6MVBench: A Comprehensive Multi-modal Video Understanding Benchmark-
MVU (13B)60.3Understanding Long Videos with Multimodal Language Models-
Random20.0--
LangRepo (12B)66.2Language Repository for Long Video Understanding-
LLoVi (7B)50.8A Simple LLM Framework for Long-Range Video Question-Answering-
SlowFast-LLaVA-34B47.2SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models-
LLoVi (GPT-3.5)57.6A Simple LLM Framework for Long-Range Video Question-Answering-
Tarsier (34B)68.6Tarsier: Recipes for Training and Evaluating Large Video Description Models-
SeViLA (4B)25.7Self-Chained Image-Language Model for Video Localization and Question Answering-
LVNet66.0Too Many Frames, Not All Useful: Efficient Strategies for Long-Form Video QA-
TS-LLaVA-34B57.8TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models-
VideoTree (GPT4)66.2VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos-
VideoChat2_mistral63.6MVBench: A Comprehensive Multi-modal Video Understanding Benchmark-
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