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Zeroshot Video Question Answer On Tgif Qa

Metrics

Accuracy
Confidence Score

Results

Performance results of various models on this benchmark

Paper Title
Tarsier (34B)82.54.4Tarsier: Recipes for Training and Evaluating Large Video Description Models
LinVT-Qwen2-VL (7B)81.34.3LinVT: Empower Your Image-level Large Language Model to Understand Videos
TS-LLaVA-34B81.04.2TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models
SlowFast-LLaVA-34B80.64.3SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models
PLLaVA80.64.3PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning
IG-VLM79.14.2An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM
VideoGPT+74.64.1VideoGPT+: Integrating Image and Video Encoders for Enhanced Video Understanding
MiniGPT4-video-7B72.22-MiniGPT4-Video: Advancing Multimodal LLMs for Video Understanding with Interleaved Visual-Textual Tokens
Video-LLaVA-7B70.04.0Video-LLaVA: Learning United Visual Representation by Alignment Before Projection
Chat-UniVi-7B69.03.8Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding
Elysium66.63.6Elysium: Exploring Object-level Perception in Videos via MLLM
Video-ChatGPT-7B51.43.0Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models
FrozenBiLM41.9-Zero-Shot Video Question Answering via Frozen Bidirectional Language Models
Video Chat-7B34.42.3VideoChat: Chat-Centric Video Understanding
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Zeroshot Video Question Answer On Tgif Qa | SOTA | HyperAI