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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 871–880 of 1149 papers

Title	Date	Tasks	Status	Hype
Distantly Supervised Semantic Text Detection and Recognition for Broadcast Sports Videos Understanding	Oct 31, 2021	Action RecognitionText Detection	—Unverified	0
Can't Fool Me: Adversarially Robust Transformer for Video Understanding	Oct 26, 2021	image-classificationImage Classification	—Unverified	0
Leveraging Local Temporal Information for Multimodal Scene Classification	Oct 26, 2021	ClassificationScene Classification	—Unverified	0
Benchmarking the Robustness of Spatial-Temporal Models Against Corruptions	Oct 13, 2021	BenchmarkingComputational Efficiency	CodeCode Available	1
CLIP4Caption: CLIP for Video Caption	Oct 13, 2021	DecoderSentence	—Unverified	0
NoisyActions2M: A Multimedia Dataset for Video Understanding from Noisy Labels	Oct 13, 2021	Action ClassificationSelf-Supervised Learning	CodeCode Available	0
Object-Region Video Transformers	Oct 13, 2021	Action DetectionAction Recognition	CodeCode Available	1
TAda! Temporally-Adaptive Convolutions for Video Understanding	Oct 12, 2021	Action ClassificationAction Recognition	CodeCode Available	0
Learning Temporally Causal Latent Processes from General Temporal Data	Oct 11, 2021	Causal DiscoveryRepresentation Learning	CodeCode Available	1
Toward a Human-Level Video Understanding Intelligence	Oct 8, 2021	AI AgentVideo Understanding	—Unverified	0

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