Zeroshot Video Question Answer On Activitynet

المقاييس

Accuracy

Confidence Score

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	Accuracy	Confidence Score	Paper Title	Repository
MovieChat	45.7	3.1	MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
BT-Adapter (zero-shot)	46.1	3.2	BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning
Tarsier (34B)	61.6	3.7	Tarsier: Recipes for Training and Evaluating Large Video Description Models
VideoChat2	49.1	3.3	MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
Chat-UniVi	46.1	3.3	Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding
LLaMA-VID-13B (2 Token)	47.5	3.3	LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models
PLLaVA (34B)	60.9	3.7	PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning
IG-VLM	58.4	3.5	An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM
SlowFast-LLaVA-34B	59.2	3.5	SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models
LLaVA-Mini	53.5	3.5	LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token	-
FrozenBiLM	24.7	-	Zero-Shot Video Question Answering via Frozen Bidirectional Language Models
Video Chat	26.5	2.2	VideoChat: Chat-Centric Video Understanding
LLaMA-VID-7B (2 Token)	47.4	3.3	LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models
Video-ChatGPT	35.2	2.7	Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models
Flash-VStream	51.9	3.4	Flash-VStream: Memory-Based Real-Time Understanding for Long Video Streams
Video-LLaVA	45.3	3.3	Video-LLaVA: Learning United Visual Representation by Alignment Before Projection
TS-LLaVA-34B	58.9	3.5	TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models
Elysium	43.4	2.9	Elysium: Exploring Object-level Perception in Videos via MLLM
PPLLaVA-7B	60.7	3.6	PPLLaVA: Varied Video Sequence Understanding With Prompt Guidance	-
LinVT-Qwen2-VL(7B)	60.1	3.6	LinVT: Empower Your Image-level Large Language Model to Understand Videos

0 of 28 row(s) selected.