Jan 22, 2021 · A novel few-shot learning framework named hybrid inference network (HIN) is proposed to tackle the problem of SAR target recognition with only a few training ...

In the inductive inference section, each sample is recognized independently according to a metric based on Euclidean distance. In the transductive inference.

... For example, Wang et al [9] proposed a novel few-shot learning framework named hybrid inference network (HIN) for SAR ATR based on a CNN for embedding ...

Hybrid Reasoning Network With Class-Oriented Hierarchical Representation for Few-Shot SAR Target Recognition · Dynamically Weighted Prototypical Learning Method ...

Apr 14, 2022 · A two-stage method, hybrid inference network (HIN), was proposed in [39]. The HIN can effectively utilize the supervised information of the ...

Aug 10, 2023 · Zhou, “Hybrid inference network for few-shot sar automatic target recognition,” IEEE Transactions on. Geoscience and Remote Sensing, 2021. [8] ...

Jul 27, 2023 · Hybrid inference network for few-shot SAR automatic target recognition. IEEE Trans. Geosci. Remote Sens., early access. 3051024. Crossref.

In this article, a novel few-shot learning framework named hybrid inference network (HIN) is proposed to tackle the problem of SAR target recognition with ... [ ...

We propose a novel framework, ie,MetraSAR, to accomplish the external knowledge transfer across tasks and internal transfer across domains for SAR ATR.

Jul 1, 2021 · This article proposes a double squeeze-adaptive excitation (DS-AE) network where new channel attention modules are inserted into the convolutional neural ...