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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 1141–1149 of 1149 papers

Title	Date	Tasks	Status	Hype
METok: Multi-Stage Event-based Token Compression for Efficient Long Video Understanding	Jun 3, 2025	Video Understanding	CodeCode Available	0
Constrained-size Tensorflow Models for YouTube-8M Video Understanding Challenge	Aug 21, 2018	Video Understanding	CodeCode Available	0
Masked Autoencoders for Egocentric Video Understanding @ Ego4D Challenge 2022	Nov 18, 2022	Object State Change ClassificationTemporal Localization	CodeCode Available	0
Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection	Dec 7, 2019	object-detectionObject Detection	CodeCode Available	0
SoccerDB: A Large-Scale Database for Comprehensive Video Understanding	Dec 10, 2019	Action ClassificationAction Detection	CodeCode Available	0
Video Action Understanding	Oct 13, 2020	Action UnderstandingDeep Learning	CodeCode Available	0
VURF: A General-purpose Reasoning and Self-refinement Framework for Video Understanding	Mar 21, 2024	Pose EstimationVideo Understanding	CodeCode Available	0
Long-Term Feature Banks for Detailed Video Understanding	Dec 12, 2018	Action ClassificationAction Recognition	CodeCode Available	0
Localizing Moments in Video with Temporal Language	Sep 5, 2018	Natural Language QueriesRetrieval	CodeCode Available	0

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