Features Split and Aggregation Network for Camouflaged Object Detection

Higher standards have been proposed for detection systems since camouflaged objects are not distinct enough, making it possible to ignore the difference between their background and foreground. In this paper, we present a new framework for Camouflaged Object Detection (COD) named FSANet, which consi...
Ausführliche Beschreibung

Gespeichert in:
Autor*in:

Zejin Zhang [verfasserIn]

Tao Wang [verfasserIn]

Jian Wang [verfasserIn]

Yao Sun [verfasserIn]

Format:

E-Artikel

Sprache:

Englisch

Erschienen:

2024

Schlagwörter:

bio-inspired network

context-aware features

multi-scale features

camouflaged object detection

Übergeordnetes Werk:

In: Journal of Imaging - MDPI AG, 2016, 10(2024), 1, p 24

Übergeordnetes Werk:

volume:10 ; year:2024 ; number:1, p 24

Links:

Link aufrufen
Link aufrufen
Link aufrufen
Journal toc

DOI / URN:

10.3390/jimaging10010024

Katalog-ID:

DOAJ096334266

Nicht das Richtige dabei?

Schreiben Sie uns!