Interactive segmentation in aerial images: a new benchmark and an open access web-based tool

arXiv:2308.13174v2 Announce Type: replace
Abstract: Deep learning has gradually become powerful in segmenting and classifying aerial images. However, in remote sensing applications, the lack of training datasets and the difficulty of accuracy assessment have always been challenges for the deep learning based classification. In recent years, interactive semantic segmentation proposed in computer vision has achieved an ideal state of human-computer interaction segmentation. It can provide expert experience and utilize deep learning for efficient segmentation. However, few papers discussed its application …

abstract accuracy aerial applications arxiv assessment become benchmark challenges classification cs.cv datasets deep learning however images interactive open access segmentation sensing tool training training datasets type web