Towards Learning Object Detectors with Limited Data for Industrial Applications

In this dissertation, three novel Generalized Few-Shot Object Detection (G-FSOD) approaches are presented to minimize the forgetting of previously learned classes while learning new classes with limited data. The first two approaches reduce the forgetting of base classes if they are still available...

Celý popis

Podrobná bibliografia

Hlavný autor:	Guirguis, Karim
Médium:	E-kniha
Jazyk:	English
Vydavateľské údaje:	KIT Scientific Publishing 2025
Edícia:	Schriftenreihe Automatische Sichtprüfung und Bildverarbeitung
Predmet:	Computer science Computer Vision Computing and Information Technology Deep Learning Few Shot Learning Mathematical theory of computation Maths for computer scientists Object Detection Objekt-Erkennung Optical Inspection Optische Inspektion Tiefes Lernen
ISBN:	9783731513896, 3731513897
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!