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

Showing 521530 of 1149 papers

TitleStatusHype
EgoVLM: Policy Optimization for Egocentric Video UnderstandingCode0
MINOTAUR: Multi-task Video Grounding From Multimodal QueriesCode0
LMM-VQA: Advancing Video Quality Assessment with Large Multimodal ModelsCode0
METok: Multi-Stage Event-based Token Compression for Efficient Long Video UnderstandingCode0
Bridging Perspectives: A Survey on Cross-view Collaborative Intelligence with Egocentric-Exocentric VisionCode0
LLaVA-OneVision: Easy Visual Task TransferCode0
Masked Autoencoders for Egocentric Video Understanding @ Ego4D Challenge 2022Code0
Long-Term Feature Banks for Detailed Video UnderstandingCode0
A Challenge to Build Neuro-Symbolic Video AgentsCode0
Localizing Moments in Video with Temporal LanguageCode0
Show:102550
← PrevPage 53 of 115Next →

No leaderboard results yet.