Zeroshot Video Question Answer On Msvd Qa

Métriques

Accuracy

Confidence Score

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	Accuracy	Confidence Score	Paper Title	Repository
BT-Adapter (zero-shot)	67.0	3.6	BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning	-
VideoGPT+	72.4	3.6	VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding	-
SlowFast-LLaVA-34B	79.9	4.1	SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models	-
Video-ChatGPT-7B	64.9	3.3	Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models	-
PPLLaVA-7B	77.1	4.0	PPLLaVA: Varied Video Sequence Understanding With Prompt Guidance	-
Elysium	75.8	3.7	Elysium: Exploring Object-level Perception in Videos via MLLM	-
BT-Adapter (zero-shot)	67.0	3.6	BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning	-
Video Chat-7B	56.3	2.8	VideoChat: Chat-Centric Video Understanding	-
Flash-VStream	80.3	3.9	Flash-VStream: Memory-Based Real-Time Understanding for Long Video Streams	-
VILA1.5-40B	80.1	-	VILA: On Pre-training for Visual Language Models	-
LLaVA-Mini	70.9	4.0	LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token	-
TS-LLaVA-34B	79.4	4.1	TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models	-
IG-VLM-34B	79.6	4.1	An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM	-
LLaMA-VID-7B (2 Token)	69.7	3.7	LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models	-
VideoChat2	70.0	3.9	MVBench: A Comprehensive Multi-modal Video Understanding Benchmark	-
Video LLaMA-7B	51.6	2.5	Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding	-
LinVT-Qwen2-VL (7B)	80.2	4.4	LinVT: Empower Your Image-level Large Language Model to Understand Videos	-
PLLaVA (34B)	79.9	4.2	PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning	-
LLaMA Adapter-7B	54.9	3.1	LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model	-
FrozenBiLM	33.8	-	Zero-Shot Video Question Answering via Frozen Bidirectional Language Models	-

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