Improving Semantic Segmentation in Aerial Imagery via Graph Reasoning and Disentangled Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3121471
Abstract: Semantic segmentation in aerial imagery is still an important, yet challenging task due to the complex characteristics of remote-sensing data. The critical issues consist of: 1) extreme foreground–background imbalance; 2) large intra-class variance; and 3)… read more here.
Keywords: aerial imagery; segmentation aerial; via graph; disentangled learning ... See more keywords
A Fine-Grained Recognition Neural Network with High-Order Feature Maps via Graph-Based Embedding for Natural Bird Diversity Conservation
Sign Up to like & getrecommendations! Published in 2023 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph20064924
Abstract: The conservation of avian diversity plays a critical role in maintaining ecological balance and ecosystem function, as well as having a profound impact on human survival and livelihood. With species’ continuous and rapid decline, information… read more here.
Keywords: neural network; bird; via graph; diversity ... See more keywords