Home Console Docs News Papers Tutorials Datasets Wiki SOTA LLM Models GPU Leaderboard Events

English

Zeroshot Video Question Answer On Tgif Qa

Metrics

Accuracy

Confidence Score

Results

Performance results of various models on this benchmark

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

0 of 14 row(s) selected.

Zeroshot Video Question Answer On Tgif Qa | SOTA | HyperAI