[HTML][HTML] Few-shot object detection in remote sensing image interpretation: Opportunities and challenges
S Liu, Y You, H Su, G Meng, W Yang, F Liu - Remote Sensing, 2022 - mdpi.com
Recent years have witnessed rapid development and remarkable achievements on deep
learning object detection in remote sensing (RS) images. The growing improvement of the …
learning object detection in remote sensing (RS) images. The growing improvement of the …
Survey of Few-Shot Object Detection.
LIU Chunlei, C Tian, W Cong… - Journal of Frontiers …, 2023 - search.ebscohost.com
Object detection as a hot field in computer vision, usually requires a large number of labeled
images for model training, which will cost a lot of manpower and material resources. At the …
images for model training, which will cost a lot of manpower and material resources. At the …
Leveraging bottom-up and top-down attention for few-shot object detection
Few-shot object detection aims at detecting objects with few annotated examples, which
remains a challenging research problem yet to be explored. Recent studies have shown the …
remains a challenging research problem yet to be explored. Recent studies have shown the …
多尺度选择金字塔网络的小样本目标检测算法.
彭豪， 李晓明 - Journal of Frontiers of Computer Science & …, 2022 - search.ebscohost.com
目标检测是把图像中指定的目标检测出来, 这一技术已经广泛运用于自动驾驶, 人脸识别等领域,
已成为国内外计算机视觉领域的一大研究热点. 传统的目标检测往往需要大量标注的数据集 …
已成为国内外计算机视觉领域的一大研究热点. 传统的目标检测往往需要大量标注的数据集 …