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 451–460 of 1149 papers

TitleStatusHype
VideoEval: Comprehensive Benchmark Suite for Low-Cost Evaluation of Video Foundation ModelCode0
Rethinking Image-to-Video Adaptation: An Object-centric Perspective—0
Video-STaR: Self-Training Enables Video Instruction Tuning with Any SupervisionCode2
MMAD: Multi-label Micro-Action Detection in VideosCode1
OmChat: A Recipe to Train Multimodal Language Models with Strong Long Context and Video Understanding—0
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output—0
KeyVideoLLM: Towards Large-scale Video Keyframe Selection—0
Video Watermarking: Safeguarding Your Video from (Unauthorized) Annotations by Video-based LLMs—0
https://arxiv.org/abs/2407.00634Code0
Tarsier: Recipes for Training and Evaluating Large Video Description ModelsCode4
Show:102550
← PrevPage 46 of 115Next →

No leaderboard results yet.