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Fully Convolutional Neural Network with Augmented Atrous Spatial Pyramid Pool and Fully Connected Fusion Path for High Resolution Remote Sensing Image Segmentation
Research article (Applied Sciences, 2019) · cited 88× · AI/ML
Fully Convolutional Neural Network with Augmented Atrous Spatial Pyramid Pool and Fully Connected Fusion Path for High Resolution Remote Sensing Image Segmentation
Summary
Fully Convolutional Neural Network with Augmented Atrous Spatial Pyramid Pool and Fully Connected Fusion Path for High Resolution Remote Sensing Image Segmentation is a scholarly article[1].
Key Facts
Fully Convolutional Neural Network with Augmented Atrous Spatial Pyramid Pool and Fully Connected Fusion Path for High Resolution Remote Sensing Image Segmentation's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Fully Convolutional Neural Network with Augmented Atrous Spatial Pyramid Pool and Fully Connected Fusion Path for High Resolution Remote Sensing Image Segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/fully-convolutional-neural-network-with-augmented-atrous-spatial-pyramid-pool-and-fully-connected-fusion-path-for-high-r
MLA“Fully Convolutional Neural Network with Augmented Atrous Spatial Pyramid Pool and Fully Connected Fusion Path for High Resolution Remote Sensing Image Segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fully-convolutional-neural-network-with-augmented-atrous-spatial-pyramid-pool-and-fully-connected-fusion-path-for-high-r.
BibTeX@misc{4ortxyz_fully-convolutional-neural-network-with-augmented-atrous-spatial-pyramid-pool-and-fully-connected-fusion-path-for-high-r_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fully Convolutional Neural Network with Augmented Atrous Spatial Pyramid Pool and Fully Connected Fusion Path for High Resolution Remote Sensing Image Segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/fully-convolutional-neural-network-with-augmented-atrous-spatial-pyramid-pool-and-fully-connected-fusion-path-for-high-r}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fully Convolutional Neural Network with Augmented Atrous Spatial Pyramid Pool and Fully Connected Fusion Path for High Resolution Remote Sensing Image Segmentation — https://4ort.xyz/entity/fully-convolutional-neural-network-with-augmented-atrous-spatial-pyramid-pool-and-fully-connected-fusion-path-for-high-r (retrieved 2026-05-24)
