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 981–990 of 1149 papers

TitleStatusHype
Features Understanding in 3D CNNs for Actions Recognition in VideoCode0
PAN: Towards Fast Action Recognition via Learning Persistence of AppearanceCode1
Residual Frames with Efficient Pseudo-3D CNN for Human Action Recognition—0
The End-of-End-to-End: A Video Understanding Pentathlon Challenge (2020)Code1
Self-supervised Motion Representation via Scattering Local Motion Cues—0
Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational LearningCode1
Detection and Localization of Robotic Tools in Robot-Assisted Surgery Videos Using Deep Neural Networks for Region Proposal and Detection—0
Perceptron Synthesis Network: Rethinking the Action Scale Variances in Videos—0
MovieNet: A Holistic Dataset for Movie Understanding—0
MotionSqueeze: Neural Motion Feature Learning for Video UnderstandingCode1
Show:102550
← PrevPage 99 of 115Next →

No leaderboard results yet.