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ITI-CERTH participation in ActEV and AVS Tracks of TRECVID 2021

Authors :
Konstantinos Gkountakos
Damianos Galanopoulos
Despoina Touska
Konstantinos Ioannidis
Stefanos Vrochidis
Vasileios Mezaris
Ioannis Kompatsiaris
Publication Year :
2022
Publisher :
Zenodo, 2022.

Abstract

In this report, the overview of the runs during the TRECVID 2021 by the ITI-CERTH team arepresented. ITI-CERTH participated in the Ad-hoc Video Search (AVS) and Activities in ExtendedVideo (ActEV) tasks. For the AVS task, our participation is based on an attention-based cross-modaldeep network architecture. As part of training this architecture, we experimented with a new hard negative mining approach. For the ActEV task, we improve our framework, in terms of more accurateperformance, by addressing the classification problem as multi-label rather than a single-label.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....80b2ee4e37dd12d22cf3de3ec859eb4d
Full Text :
https://doi.org/10.5281/zenodo.5817707