Research graph
References from Boundary-Aware Attention-Enhanced DeepLabV3+ for Landslide Segmentation Along the Sichuan–Tibet Transportation Corridor. Local targets link to admitted publications; unresolved targets remain external evidence.
10.3390/rs16081344
10.3390/rs16081344 · External reference
Deep learning forecast of rainfall-induced shallow landslides
10.1038/s41467-023-38135-y · 2023 · External reference
A spatially explicit deep learning neural network model for the prediction of landslide susceptibility
10.1016/j.catena.2019.104451 · 2020 · External reference
10.1007/978-3-319-24574-4_28
10.1007/978-3-319-24574-4_28 · External reference
10.1007/978-3-030-00889-5_1
10.1007/978-3-030-00889-5_1 · External reference
10.3390/f17010088
10.3390/f17010088 · External reference
10.1109/icct50939.2020.9295748
10.1109/icct50939.2020.9295748 · External reference
10.1007/978-3-030-01234-2_49
10.1007/978-3-030-01234-2_49 · External reference
10.1109/cvpr.2017.660
10.1109/cvpr.2017.660 · External reference
SegFormer: Simple and efficient design for semantic segmentation with transformers
2021 · External reference
Dual-stream spatio-temporal GCN-transformer network for 3D human pose estimation
10.1016/j.displa.2026.103429 · 2026 · External reference
10.3390/rs14215490
10.3390/rs14215490 · External reference
10.1007/978-3-030-01234-2_1
10.1007/978-3-030-01234-2_1 · External reference
10.3390/rs13183566
10.3390/rs13183566 · External reference
Evaluation of landslide susceptibility of the Ya’an–Linzhi section of the Sichuan–Tibet Railway based on deep learning
10.1007/s12665-022-10375-z · 2022 · External reference
Landslide detection in the Himalayas using machine learning algorithms and U-Net
10.1007/s10346-022-01861-3 · 2022 · External reference
10.3390/rs14122826
10.3390/rs14122826 · External reference
The research on landslide detection in remote sensing images based on improved DeepLabv3+ method
10.1038/s41598-025-92822-y · 2025 · External reference
10.1109/icisce50968.2020.00256
10.1109/icisce50968.2020.00256 · External reference
10.3390/rs14122884
10.3390/rs14122884 · External reference
10.1007/978-3-031-25066-8_9
10.1007/978-3-031-25066-8_9 · External reference
UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery
10.1016/j.isprsjprs.2022.06.008 · 2022 · External reference
Unresolved reference
External reference
Landslide detection from an open satellite imagery and digital elevation model dataset using attention boosted convolutional neural networks
10.1007/s10346-020-01353-2 · 2020 · External reference
Decreased post-seismic landslides linked to vegetation recovery after the 2008 Wenchuan earthquake
10.1016/j.ecolind.2017.12.006 · 2018 · External reference
Decadal vegetation succession from MODIS reveals the spatio-temporal evolution of post-seismic landsliding after the 2008 Wenchuan earthquake
10.1016/j.rse.2019.111476 · 2020 · External reference
10.3390/s21155243
10.3390/s21155243 · External reference
Long-term landslide evolution and restoration after the Wenchuan earthquake revealed by time-series remote sensing images
10.1029/2023gl106422 · 2024 · External reference
10.1109/icsscna68616.2026.11547144
10.1109/icsscna68616.2026.11547144 · External reference
Convolutional neural networks applied to semantic segmentation of landslide scars
10.1016/j.catena.2021.105189 · 2021 · External reference
10.3390/rs16101712
10.3390/rs16101712 · External reference
Facial Expression Analysis and Its Potentials in IoT Systems: A Contemporary Survey
2025 · External reference
Rapidly evolving controls of landslides after a strong earthquake and implications for hazard assessments
10.1029/2020gl090509 · 2020 · External reference
10.1109/iccv.2019.00533
10.1109/iccv.2019.00533 · External reference
10.1007/978-3-030-00889-5_1
10.1007/978-3-030-00889-5_1 · ExternalCitation · doi-reference
10.1007/978-3-030-01234-2_1
10.1007/978-3-030-01234-2_1 · ExternalCitation · doi-reference
10.1007/978-3-030-01234-2_49
10.1007/978-3-030-01234-2_49 · ExternalCitation · doi-reference
10.1007/978-3-031-25066-8_9
10.1007/978-3-031-25066-8_9 · ExternalCitation · doi-reference
10.1007/978-3-319-24574-4_28
10.1007/978-3-319-24574-4_28 · ExternalCitation · doi-reference
Landslide detection from an open satellite imagery and digital elevation model dataset using attention boosted convolutional neural networks
10.1007/s10346-020-01353-2 · ExternalCitation · doi-reference
Landslide detection in the Himalayas using machine learning algorithms and U-Net
10.1007/s10346-022-01861-3 · ExternalCitation · doi-reference
Evaluation of landslide susceptibility of the Ya’an–Linzhi section of the Sichuan–Tibet Railway based on deep learning
10.1007/s12665-022-10375-z · ExternalCitation · doi-reference
A spatially explicit deep learning neural network model for the prediction of landslide susceptibility
10.1016/j.catena.2019.104451 · ExternalCitation · doi-reference
Convolutional neural networks applied to semantic segmentation of landslide scars
10.1016/j.catena.2021.105189 · ExternalCitation · doi-reference
Dual-stream spatio-temporal GCN-transformer network for 3D human pose estimation
10.1016/j.displa.2026.103429 · ExternalCitation · doi-reference
Decreased post-seismic landslides linked to vegetation recovery after the 2008 Wenchuan earthquake
10.1016/j.ecolind.2017.12.006 · ExternalCitation · doi-reference
UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery
10.1016/j.isprsjprs.2022.06.008 · ExternalCitation · doi-reference
Decadal vegetation succession from MODIS reveals the spatio-temporal evolution of post-seismic landsliding after the 2008 Wenchuan earthquake
10.1016/j.rse.2019.111476 · ExternalCitation · doi-reference
Rapidly evolving controls of landslides after a strong earthquake and implications for hazard assessments
10.1029/2020gl090509 · ExternalCitation · doi-reference
Long-term landslide evolution and restoration after the Wenchuan earthquake revealed by time-series remote sensing images
10.1029/2023gl106422 · ExternalCitation · doi-reference
Deep learning forecast of rainfall-induced shallow landslides
10.1038/s41467-023-38135-y · ExternalCitation · doi-reference
The research on landslide detection in remote sensing images based on improved DeepLabv3+ method
10.1038/s41598-025-92822-y · ExternalCitation · doi-reference
10.1109/cvpr.2017.660
10.1109/cvpr.2017.660 · ExternalCitation · doi-reference
10.1109/icct50939.2020.9295748
10.1109/icct50939.2020.9295748 · ExternalCitation · doi-reference
10.1109/iccv.2019.00533
10.1109/iccv.2019.00533 · ExternalCitation · doi-reference
10.1109/icisce50968.2020.00256
10.1109/icisce50968.2020.00256 · ExternalCitation · doi-reference
10.1109/icsscna68616.2026.11547144
10.1109/icsscna68616.2026.11547144 · ExternalCitation · doi-reference
10.3390/f17010088
10.3390/f17010088 · ExternalCitation · doi-reference
10.3390/rs13183566
10.3390/rs13183566 · ExternalCitation · doi-reference
10.3390/rs14122826
10.3390/rs14122826 · ExternalCitation · doi-reference
10.3390/rs14122884
10.3390/rs14122884 · ExternalCitation · doi-reference
10.3390/rs14215490
10.3390/rs14215490 · ExternalCitation · doi-reference
10.3390/rs16081344
10.3390/rs16081344 · ExternalCitation · doi-reference
10.3390/rs16101712
10.3390/rs16101712 · ExternalCitation · doi-reference
10.3390/s21155243
10.3390/s21155243 · ExternalCitation · doi-reference
