Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark

Most existing works on few-shot object detection (FSOD) focus on a setting where both pre-training and few-shot learning datasets are from a similar domain. However, few-shot algorithms are important in multiple domains; hence evaluation needs to reflect the broad applications. We propose a Multi-dO...

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Hauptverfasser:	Lee, Kibok, Yang, Hao, Chakraborty, Satyaki, Cai, Zhaowei, Swaminathan, Gurumurthy, Ravichandran, Avinash, Dabeer, Onkar
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition
Online-Zugang:	Volltext bestellen
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