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SOTA
Zeroshot Video Question Answer
Zero Shot Video Question Answer On Egoschema
Zero Shot Video Question Answer On Egoschema
评估指标
Accuracy
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
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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