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الرئيسية
SOTA
الأسئلة والإجابات المرئية
Video Question Answering On Mvbench
Video Question Answering On Mvbench
المقاييس
Avg.
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
Avg.
Paper Title
Repository
ST-LLM
54.9
ST-LLM: Large Language Models Are Effective Temporal Learners
-
Tarsier (34B)
67.6
Tarsier: Recipes for Training and Evaluating Large Video Description Models
-
PPLLaVA (7b)
59.2
PPLLaVA: Varied Video Sequence Understanding With Prompt Guidance
-
MiniGPT4
18.8
MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
-
VideoChat
35.5
VideoChat: Chat-Centric Video Understanding
-
Oryx(34B)
64.7
Oryx MLLM: On-Demand Spatial-Temporal Understanding at Arbitrary Resolution
-
InstructBLIP
32.5
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning
-
LongVU (7B)
66.9
LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding
-
VideoLLaMA
34.1
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
-
LinVT-Qwen2-VL (7B)
69.3
LinVT: Empower Your Image-level Large Language Model to Understand Videos
-
HawkEye
47.55
HawkEye: Training Video-Text LLMs for Grounding Text in Videos
-
Video-ChatGPT
32.7
Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models
-
SPHINX-Plus
39.7
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models
-
VideoLLaMA2 (72B)
62.0
VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs
-
VideoChat2
51.9
MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
-
mPLUG-Owl3(7B)
59.5
mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models
-
PLLaVA
58.1
PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning
-
InternVideo2
67.2
InternVideo2: Scaling Foundation Models for Multimodal Video Understanding
-
VideoGPT+
58.7
VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding
-
LLaVa
36.0
Visual Instruction Tuning
-
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