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20192022
most citedSCAttNet: Semantic Segmentation Network with Spatial and Channel Attention Mechanism for High-Resolution Remote Sensing Images

295 citations · 638 across the 4 of their papers we have counts for

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cs.CV2022★ 27 cited

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…