Fast camouflaged object detection via multi-scale feature-enhanced network

Abstract The aim of camouflaged object detection (COD) is to identify objects that are hidden or camouflaged in the visual scene. Since camouflaged objects have fuzzy boundaries and are very similar to their surroundings, the task of COD, especially multi-scale COD, is still challenging. Based on ER...
Ausführliche Beschreibung

Gespeichert in:
Autor*in:

Zhou, Bingqin [verfasserIn]

Yang, Kun

Gao, Zhigang

Format:

E-Artikel

Sprache:

Englisch

Erschienen:

2024

Schlagwörter:

Camouflaged object detection

Multi-scale feature enhancement

Convolutional neural network

Fast detection

Anmerkung:

© The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Übergeordnetes Werk:

Enthalten in: Signal, image and video processing - Springer London, 2007, 18(2024), 4 vom: 28. Feb., Seite 3903-3914

Übergeordnetes Werk:

volume:18 ; year:2024 ; number:4 ; day:28 ; month:02 ; pages:3903-3914

Links:

Volltext

DOI / URN:

10.1007/s11760-024-03051-1

Katalog-ID:

SPR055291643

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