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 1041–1050 of 1149 papers

TitleStatusHype
Query-aware Long Video Localization and Relation Discrimination for Deep Video Understanding—0
Query-Conditioned Three-Player Adversarial Network for Video Summarization—0
Question Answering is a Format; When is it Useful?—0
R^2-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding—0
R^2-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding—0
Random Temporal Skipping for Multirate Video Analysis—0
RAVU: Retrieval Augmented Video Understanding with Compositional Reasoning over Graph—0
ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding—0
Real-Time Video Highlights for Yahoo Esports—0
Reasoning is All You Need for Video Generalization: A Counterfactual Benchmark with Sub-question Evaluation—0
Show:102550
← PrevPage 105 of 115Next →

No leaderboard results yet.