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

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Showing 481–490 of 1149 papers

TitleStatusHype
Discrete neural representations for explainable anomaly detection—0
Improving Video Model Transfer With Dynamic Representation Learning—0
Large-Scale Video Classification with Feature Space Augmentation coupled with Learned Label Relations and Ensembling—0
Large Scale Video Representation Learning via Relational Graph Clustering—0
Large-Scale YouTube-8M Video Understanding with Deep Neural Networks—0
LASER: A Neuro-Symbolic Framework for Learning Spatial-Temporal Scene Graphs with Weak Supervision—0
Improving LLM Video Understanding with 16 Frames Per Second—0
Beyond the Camera: Neural Networks in World Coordinates—0
Dynamic Graph Modules for Modeling Object-Object Interactions in Activity Recognition—0
Discerning Generic Event Boundaries in Long-Form Wild Videos—0
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