Video Question Answering On Mvbench

评估指标

Avg.

评测结果

各个模型在此基准测试上的表现结果

		Paper Title
LinVT-Qwen2-VL (7B)	69.3	LinVT: Empower Your Image-level Large Language Model to Understand Videos
Tarsier (34B)	67.6	Tarsier: Recipes for Training and Evaluating Large Video Description Models
InternVideo2	67.2	InternVideo2: Scaling Foundation Models for Multimodal Video Understanding
LongVU (7B)	66.9	LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding
Oryx(34B)	64.7	Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
VideoLLaMA2 (72B)	62.0	VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs
mPLUG-Owl3(7B)	59.5	mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models
PPLLaVA (7b)	59.2	PPLLaVA: Varied Video Sequence Understanding With Prompt Guidance
VideoGPT+	58.7	VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding
PLLaVA	58.1	PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning
ST-LLM	54.9	ST-LLM: Large Language Models Are Effective Temporal Learners
VideoChat2	51.9	MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
HawkEye	47.55	HawkEye: Training Video-Text LLMs for Grounding Text in Videos
SPHINX-Plus	39.7	SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models
TimeChat	38.5	TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding
LLaVa	36.0	Visual Instruction Tuning
VideoChat	35.5	VideoChat: Chat-Centric Video Understanding
VideoLLaMA	34.1	Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
Video-ChatGPT	32.7	Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models
InstructBLIP	32.5	InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

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