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الرئيسية
SOTA
القياس المولد القائم على الفيديو (التوجه التفصيلي)
Video Based Generative Performance 4
Video Based Generative Performance 4
المقاييس
gpt-score
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
gpt-score
Paper Title
Repository
Video-ChatGPT
2.52
Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models
-
Video LLaMA
2.18
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
-
MiniGPT4-video-7B
3.02
MiniGPT4-Video: Advancing Multimodal LLMs for Video Understanding with Interleaved Visual-Textual Tokens
-
Video Chat
2.50
VideoChat: Chat-Centric Video Understanding
-
LLaMA Adapter
2.32
LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model
-
ST-LLM
3.05
ST-LLM: Large Language Models Are Effective Temporal Learners
-
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
-
VTimeLLM
3.10
VTimeLLM: Empower LLM to Grasp Video Moments
-
TS-LLaVA-34B
3.03
TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models
-
BT-Adapter (zero-shot)
2.46
BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning
-
VideoChat2
2.88
MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
-
VideoGPT+
3.18
VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding
-
BT-Adapter
2.69
BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning
-
PLLaVA-34B
3.20
PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning
-
VideoChat2_HD_mistral
2.86
MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
-
PPLLaVA-7B
3.56
PPLLaVA: Varied Video Sequence Understanding With Prompt Guidance
-
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