Standout Papers

Review the state-of-the-art technologies of semantic segmentation based on deep learning 2022 2026 2023 2024332
  1. Review the state-of-the-art technologies of semantic segmentation based on deep learning (2022)
    Yujian Mo, Yan Wu et al. Neurocomputing

Immediate Impact

22 standout
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Citing Papers

BB-GeoGPT: A framework for learning a large language model for geographic information science
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2 intermediate papers

Works of Xinneng Yang being referenced

Review the state-of-the-art technologies of semantic segmentation based on deep learning
2022 Standout

Author Peers

Author Last Decade Papers Cites
Xinneng Yang 185 88 21 59 3 340
Yujun Liao 186 88 22 59 5 342
Fahad Lateef 221 87 21 50 5 384
Zhuofan Xia 209 65 6 67 2 356
Fanyi Xiao 226 49 9 37 6 389
Devanand Bhonsle 213 35 9 73 3 391
Nidhi Chandrakar 213 35 9 73 4 389
Duo Li 234 82 4 108 8 377
Wesley L. Passos 156 42 14 27 6 368
Daniel Bolya 169 26 9 27 2 311
Zhenggong Han 194 84 8 28 12 376

All Works

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2026