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الرئيسية
SOTA
الأسئلة والإجابات على الفيديو بدون تدريب مسبق
Zeroshot Video Question Answer On Tgif Qa
Zeroshot Video Question Answer On Tgif Qa
المقاييس
Accuracy
Confidence Score
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
Accuracy
Confidence Score
Paper Title
Repository
Elysium
66.6
3.6
Elysium: Exploring Object-level Perception in Videos via MLLM
-
MiniGPT4-video-7B
72.22
-
MiniGPT4-Video: Advancing Multimodal LLMs for Video Understanding with Interleaved Visual-Textual Tokens
-
TS-LLaVA-34B
81.0
4.2
TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models
-
Video Chat-7B
34.4
2.3
VideoChat: Chat-Centric Video Understanding
-
SlowFast-LLaVA-34B
80.6
4.3
SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models
-
Video-LLaVA-7B
70.0
4.0
Video-LLaVA: Learning United Visual Representation by Alignment Before Projection
-
VideoGPT+
74.6
4.1
VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding
-
LinVT-Qwen2-VL (7B)
81.3
4.3
LinVT: Empower Your Image-level Large Language Model to Understand Videos
-
IG-VLM
79.1
4.2
An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM
-
Video-ChatGPT-7B
51.4
3.0
Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models
-
PLLaVA
80.6
4.3
PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning
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Chat-UniVi-7B
69.0
3.8
Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding
-
FrozenBiLM
41.9
-
Zero-Shot Video Question Answering via Frozen Bidirectional Language Models
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Tarsier (34B)
82.5
4.4
Tarsier: Recipes for Training and Evaluating Large Video Description Models
-
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