Decoupled Self-Supervised Subspace Classifier for Few-Shot Class-Incremental SAR Target Recognition

Synthetic aperture radar automatic target recognition (SAR ATR) has ushered in a new era dominated by deep-learning (DL) techniques. However, the DL-based recognition systems inevitably confront <italic>catastrophic forgetting</italic> for learned knowledge and <italic>overfitting</italic> for the n...

Descrición completa

Detalles Bibliográficos

Principais autores:	Yan Zhao, Lingjun Zhao, Siqian Zhang, Li Liu, Kefeng Ji, Gangyao Kuang
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2024-01-01
Series:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Class-incremental learning (CIL) few-shot class-incremental learning (FSCIL) self-supervised learning (SSL) subspace classification synthetic aperture radar (SAR) target recognition
Acceso en liña:	https://ieeexplore.ieee.org/document/10663261/
Tags:	Engadir etiqueta Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!