3 accepted papers
Due to the rich details of residential areas and the characteristics of remote sensing image sharpness vulnerable to haze, it will not only consume a lot of labor costs but also be very difficult to produce a large-scale dataset with strong labels. Therefore, the limited-sample dataset has become a…
As the annotation of remote sensing images requires domain expertise, it is difficult to construct a large-scale and accurate annotated dataset. Image-level annotation data learning has become a research hotspot. In addition, due to the difficulty in avoiding mislabeling, label noise cleaning is als…
Due to the pixel-level accurate annotation of remote sensing images consumes a lot of labor costs, weak annotation semantic segmentation has become a hotspot in recent years. However, due to the lack of label accuracy, these methods often have insufficient expression ability. In this paper, we propo…