Video Based Generative Performance 4

المقاييس

gpt-score

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

		Paper Title
PPLLaVA-7B	3.56	PPLLaVA: Varied Video Sequence Understanding With Prompt Guidance
PLLaVA-34B	3.20	PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning
VideoGPT+	3.18	VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding
VTimeLLM	3.10	VTimeLLM: Empower LLM to Grasp Video Moments
ST-LLM	3.05	ST-LLM: Large Language Models Are Effective Temporal Learners
TS-LLaVA-34B	3.03	TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models
MiniGPT4-video-7B	3.02	MiniGPT4-Video: Advancing Multimodal LLMs for Video Understanding with Interleaved Visual-Textual Tokens
SlowFast-LLaVA-34B	2.96	SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models
MovieChat	2.93	MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
Chat-UniVi	2.91	Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding
VideoChat2	2.88	MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
VideoChat2_HD_mistral	2.86	MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
BT-Adapter	2.69	BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning
Video-ChatGPT	2.52	Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models
Video Chat	2.50	VideoChat: Chat-Centric Video Understanding
BT-Adapter (zero-shot)	2.46	BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning
LLaMA Adapter	2.32	LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model
Video LLaMA	2.18	Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

0 of 18 row(s) selected.

Video Based Generative Performance 4 | SOTA | HyperAI