Standout Papers

ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data 2020 2026 2022 20241.0k
  1. ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data (2020)
    Foivos I. Diakogiannis, François Waldner et al. ISPRS Journal of Photogrammetry and Remote Sensing

Immediate Impact

8 from Science/Nature 53 standout
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Citing Papers

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1 intermediate paper

Works of Peter Caccetta being referenced

ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data
2020 Standout

Author Peers

Author Last Decade Papers Cites
Peter Caccetta 602 537 297 551 50 1.9k
François Waldner 672 1345 284 503 46 2.8k
Ying Sun 648 478 185 695 78 2.3k
Ali Mohammadzadeh 652 649 213 349 116 2.5k
Sébastien Lefèvre 317 415 229 989 108 2.3k
Jefersson A. dos Santos 269 407 315 912 67 1.9k
Zhengxin Zhang 552 179 348 822 31 2.2k
Jens Leitloff 498 404 142 439 33 1.6k
Raul Queiroz Feitosa 844 1188 251 500 89 2.8k
Thomas Corpetti 468 570 117 449 90 1.7k
Olaf Hellwich 305 154 256 376 103 1.6k

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2026