MSO‐DETR: Metric space optimization for few‐shot object detection

MSO‐DETR: Metric space optimization for few‐shot object detection

Abstract In the metric‐based meta‐learning detection model, the distribution of training samples in the metric space has great influence on the detection performance, and this influence is usually ignored by traditional meta‐detectors. In addition, the design of metric space might be interfered with...

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Bibliographic Details
Main Authors:	Haifeng Sima, Manyang Wang, Lanlan Liu, Yudong Zhang, Junding Sun
Format:	Article
Language:	English
Published:	Wiley 2024-12-01
Series:	CAAI Transactions on Intelligence Technology
Subjects:	few‐shot object detection hyperbolic space meta‐learning metric space
Online Access:	https://doi.org/10.1049/cit2.12342
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