295 citations · 638 across the 4 of their papers we have counts for
4 papers
False: False Negative Samples Aware Contrastive Learning for Semantic Segmentation of High-Resolution Remote Sensing Image
Zhaoyang Zhang, Xuying Wang, Xiaoming Mei +2
The existing SSCL of RSI is built based on constructing positive and negative sample pairs. However, due to the richness of RSI ground objects and the complexity of the RSI context…
SMAPGAN: Generative Adversarial Network Based Semi-Supervised Styled Map Tiles Generating Method
X. Chen, S. Chen, T. Xu +4
Traditional online map tiles, widely used on the Internet such as Google Map and Baidu Map, are rendered from vector data. Timely updating online map tiles from vector data, of whi…
SCAttNet: Semantic Segmentation Network with Spatial and Channel Attention Mechanism for High-Resolution Remote Sensing Images
Haifeng Li, Kaijian Qiu, Li Chen +3
High-resolution remote sensing images (HRRSIs) contain substantial ground object information, such as texture, shape, and spatial location. Semantic segmentation, which is an impor…
MAP-Net: Multi Attending Path Neural Network for Building Footprint Extraction from Remote Sensed Imagery
Qing Zhu, Cheng Liao, Han Hu +2
Accurately and efficiently extracting building footprints from a wide range of remote sensed imagery remains a challenge due to their complex structure, variety of scales and diver…