SOTAVerified

Video Question Answering

Papers

Showing 110 of 460 papers

TitleStatusHype
Decoupled Seg Tokens Make Stronger Reasoning Video Segmenter and GrounderCode1
LLaVA-Scissor: Token Compression with Semantic Connected Components for Video LLMsCode2
How Far Can Off-the-Shelf Multimodal Large Language Models Go in Online Episodic Memory Question Answering?0
video-SALMONN 2: Captioning-Enhanced Audio-Visual Large Language ModelsCode2
CogStream: Context-guided Streaming Video Question Answering0
CausalVQA: A Physically Grounded Causal Reasoning Benchmark for Video ModelsCode2
V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and PlanningCode7
Looking Beyond Visible Cues: Implicit Video Question Answering via Dual-Clue ReasoningCode0
EgoVLM: Policy Optimization for Egocentric Video UnderstandingCode0
VUDG: A Dataset for Video Understanding Domain Generalization0
Show:102550
← PrevPage 1 of 46Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GF (sup) - Faster RCNNAverage Accuracy55.08Unverified
2MIST - CLIPAverage Accuracy54.39Unverified
3GF (uns) - S3DAverage Accuracy53.33Unverified
4SViTTAverage Accuracy52.7Unverified
5MIST - AIOAverage Accuracy50.96Unverified
6SHG-VQA (trained from scratch)Average Accuracy49.2Unverified
7AIO - ViTAverage Accuracy48.59Unverified
8MMTFAverage Accuracy44.36Unverified