What, when, and where? -- Self-Supervised Spatio-Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions

Spatio-temporal grounding describes the task of localizing events in space and time, e.g., in video data, based on verbal descriptions only. Models for this task are usually trained with human-annotated sentences and bounding box supervision. This work addresses this task from a multimodal supervisi...

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Hauptverfasser:	Chen, Brian, Shvetsova, Nina, Rouditchenko, Andrew, Kondermann, Daniel, Thomas, Samuel, Chang, Shih-Fu, Feris, Rogerio, Glass, James, Kuehne, Hilde
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
Online-Zugang:	Volltext bestellen
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