Jul 21, 2022 · This article proposes a lightweight metalearning-based SAR image few-shot object detection method, which improves the accuracy and speed of SAR image few-shot ...

This study proposes a few-shot remote sensing image object detection method that integrates context dependencies and global features.

Aug 1, 2022 · Our model of few-shot object detection (FSODS) for SAR images first learns metaknowledge from a large base classes dataset with labeled data, so ...

Sep 5, 2024 · This paper proposes a new few-shot object detection model designed to handle the issue of object scale variation in remote sensing images. Our ...

Missing: FSODS: SAR

To this end, this article proposes a lightweight metalearning-based SAR image few-shot object detection method, which improves the ...

This study proposes a few-shot remote sensing image object detection method that integrates context dependencies and global features.

Sep 20, 2024 · Few-shot Object Detection (FSOD) aims to identify novel objects using only a limited number of samples. While impressive results have been ...

Missing: FSODS: | Show results with:FSODS:

Zhou et al. (2022) propose a lightweight meta-learning based SAR image few shot object detection method, which improves the accuracy and speed of SAR image few ...