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 941–950 of 1149 papers

TitleStatusHype
Re-ID-AR: Improved Person Re-identification in Video via Joint Weakly Supervised Action RecognitionCode0
Gradient Frequency Modulation for Visually Explaining Video Understanding Models—0
Distantly Supervised Semantic Text Detection and Recognition for Broadcast Sports Videos Understanding—0
Leveraging Local Temporal Information for Multimodal Scene Classification—0
Can't Fool Me: Adversarially Robust Transformer for Video Understanding—0
NoisyActions2M: A Multimedia Dataset for Video Understanding from Noisy LabelsCode0
CLIP4Caption: CLIP for Video Caption—0
TAda! Temporally-Adaptive Convolutions for Video UnderstandingCode0
Toward a Human-Level Video Understanding Intelligence—0
Efficient Modelling Across Time of Human Actions and Interactions—0
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