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 861–870 of 1149 papers

TitleStatusHype
VIOLET : End-to-End Video-Language Transformers with Masked Visual-token ModelingCode1
MM-Pyramid: Multimodal Pyramid Attentional Network for Audio-Visual Event Localization and Video ParsingCode1
PyTorchVideo: A Deep Learning Library for Video UnderstandingCode2
Fill-in-the-Blank: A Challenging Video Understanding Evaluation Framework—0
Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge—0
Attention Mechanisms in Computer Vision: A SurveyCode2
Relational Self-Attention: What's Missing in Attention for Video UnderstandingCode1
Revisiting spatio-temporal layouts for compositional action recognitionCode1
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
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