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Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images

Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images

Michele Volpi
D. Tuia
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Papers citing "Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images"

4 / 4 papers shown
Title
GeoGround: A Unified Large Vision-Language Model for Remote Sensing Visual Grounding
GeoGround: A Unified Large Vision-Language Model for Remote Sensing Visual Grounding
Yimiao Zhou
Mengcheng Lan
Xiang Li
Yiping Ke
Yiping Ke
Xue Jiang
Qingyun Li
Xue Yang
Wayne Zhang
ObjD
VLM
170
6
0
16 Nov 2024
Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks
Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks
Nicolas Audebert
Bertrand Le Saux
Sébastien Lefèvre
78
513
0
23 Nov 2017
Pushing the Boundaries of Boundary Detection using Deep Learning
Pushing the Boundaries of Boundary Detection using Deep Learning
Iasonas Kokkinos
38
232
0
23 Nov 2015
Feedforward semantic segmentation with zoom-out features
Feedforward semantic segmentation with zoom-out features
Mohammadreza Mostajabi
Payman Yadollahpour
Gregory Shakhnarovich
MDE
SSeg
141
474
0
02 Dec 2014