SOTAVerified

Video Understanding

A crucial task of Video Understanding is to recognise and localise (in space and time) different actions or events appearing in the video.

Source: Action Detection from a Robot-Car Perspective

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 81–90 of 1149 papers

TitleStatusHype
OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding?Code2
PG-Video-LLaVA: Pixel Grounding Large Video-Language ModelsCode2
StreamingBench: Assessing the Gap for MLLMs to Achieve Streaming Video UnderstandingCode2
ActionFormer: Localizing Moments of Actions with TransformersCode2
OmniVid: A Generative Framework for Universal Video UnderstandingCode2
Needle In A Video Haystack: A Scalable Synthetic Evaluator for Video MLLMsCode2
Neptune: The Long Orbit to Benchmarking Long Video UnderstandingCode2
Multi-granularity Correspondence Learning from Long-term Noisy VideosCode2
MVBench: A Comprehensive Multi-modal Video Understanding BenchmarkCode2
OmAgent: A Multi-modal Agent Framework for Complex Video Understanding with Task Divide-and-ConquerCode2
Show:102550
← PrevPage 9 of 115Next →

No leaderboard results yet.