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SOTA
Réponse zéro-shot à des questions vidéo
Zero Shot Video Question Answer On Next Qa
Zero Shot Video Question Answer On Next Qa
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Columns
Nom du modèle
Accuracy
Paper Title
Repository
VideoChat2
61.7
MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
-
VidCtx (7B)
70.7
VidCtx: Context-aware Video Question Answering with Image Models
-
LongVA(32 frames)
67.1
Long Context Transfer from Language to Vision
-
IG-VLM(LLaVA v1.6)
70.9
An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM
-
MVU (13B)
55.2
Understanding Long Videos with Multimodal Language Models
-
Q-ViD
66.3
Question-Instructed Visual Descriptions for Zero-Shot Video Question Answering
-
VideoTree (GPT4)
73.5
VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos
-
Sevila (4B)
63.6
Self-Chained Image-Language Model for Video Localization and Question Answering
-
TraveLER (GPT-4)
68.2
TraveLER: A Modular Multi-LMM Agent Framework for Video Question-Answering
-
ProViQ
64.6
Zero-Shot Video Question Answering with Procedural Programs
-
Tarsier (34B)
79.2
Tarsier: Recipes for Training and Evaluating Large Video Description Models
-
ViperGPT (GPT-3.5)
60.0
ViperGPT: Visual Inference via Python Execution for Reasoning
-
LLoVi (GPT-4)
67.7
A Simple LLM Framework for Long-Range Video Question-Answering
-
MoReVQA(PaLM-2)
69.2
MoReVQA: Exploring Modular Reasoning Models for Video Question Answering
-
IG-VLM (GPT-4)
68.6
An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM
-
DeepStack-L(7B)
61.0
DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs
-
VideoAgent (GPT-4)
71.3
VideoAgent: Long-form Video Understanding with Large Language Model as Agent
-
LVNet(GPT-4o)
72.9
Too Many Frames, Not All Useful: Efficient Strategies for Long-Form Video QA
-
LLoVi (7B)
54.3
A Simple LLM Framework for Long-Range Video Question-Answering
-
TS-LLaVA-34B
73.6
TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models
-
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