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A Multi-Scale Vision Transformer-Based Multimodal Geoai Model for Mapping Arctic Permafrost Thaw

https://doi.org/10.2139/ssrn.4762408
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inferredcites →https://doi.org/10.1002/2017jf004231openalex-extracted
Terrain controls on the occurrence of coastal retrogressive thaw slumps along the Yukon Coast, Canada
inferredcites →https://doi.org/10.1007/978-3-030-01234-2_49openalex-extracted
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
inferredcites →https://doi.org/10.1007/978-3-319-24574-4_28openalex-extracted
U-Net: Convolutional Networks for Biomedical Image Segmentation
inferredcites →https://doi.org/10.1007/978-3-319-46493-0_38openalex-extracted
Identity Mappings in Deep Residual Networks
inferredcites →https://doi.org/10.1016/j.geomorph.2006.07.040openalex-extracted
Fifty years of coastal erosion and retrogressive thaw slump activity on Herschel Island, southern Beaufort Sea, Yukon Territory, Canada
inferredcites →https://doi.org/10.1016/j.imavis.2020.104042openalex-extracted
Deep multimodal fusion for semantic image segmentation: A survey
inferredcites →https://doi.org/10.1016/j.rse.2019.111534openalex-extracted
Using deep learning to map retrogressive thaw slumps in the Beiluhe region (Tibetan Plateau) from CubeSat images
inferredcites →https://doi.org/10.1016/j.rse.2021.112599openalex-extracted
Towards interpreting multi-temporal deep learning models in crop mapping
inferredcites →https://doi.org/10.1016/j.rse.2023.113495openalex-extracted
Mapping retrogressive thaw slumps using deep neural networks
inferredcites →https://doi.org/10.1029/2022gl099371openalex-extracted
Annual Mean Arctic Amplification 1970–2020: Observed and Simulated by CMIP6 Climate Models
inferredcites →https://doi.org/10.1029/2022jf006602openalex-extracted
The Role of Massive Ice and Exposed Headwall Properties on Retrogressive Thaw Slump Activity
inferredcites →https://doi.org/10.1080/15481603.2015.1008621openalex-extracted
Automated stereo-photogrammetric DEM generation at high latitudes: Surface Extraction with TIN-based Search-space Minimization (SETSM) validation and demonstration over glaciated regions
inferredcites →https://doi.org/10.1088/1748-9326/ab12fdopenalex-extracted
Rapid initialization of retrogressive thaw slumps in the Canadian high Arctic and their response to climate and terrain factors
inferredcites →https://doi.org/10.1109/cvpr.2018.00418openalex-extracted
DOTA: A Large-Scale Dataset for Object Detection in Aerial Images
inferredcites →https://doi.org/10.1109/iccv.2015.123openalex-extracted
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
inferredcites →https://doi.org/10.1109/iccv48922.2021.00675openalex-extracted
Multiscale Vision Transformers
inferredcites →https://doi.org/10.1109/jsen.2020.3003121openalex-extracted
Multi-Modal Sensor Fusion-Based Deep Neural Network for End-to-End Autonomous Driving With Scene Understanding
inferredcites →https://doi.org/10.1109/tits.2020.2972974openalex-extracted
Deep Multi-Modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
inferredcites →https://doi.org/10.1109/tpami.2019.2956516openalex-extracted
Cascade R-CNN: High Quality Object Detection and Instance Segmentation
inferredcites →https://doi.org/10.1109/tpami.2023.3275156openalex-extracted
Multimodal Learning With Transformers: A Survey
inferredcites →https://doi.org/10.1145/3557918.3565869openalex-extracted
Real-time GeoAI for high-resolution mapping and segmentation of arctic permafrost features
inferredcites →https://doi.org/10.1145/3615886.3627747openalex-extracted
Assessment of a new GeoAI foundation model for flood inundation mapping
inferredcites →https://doi.org/10.3390/ijgi11070385openalex-extracted
GeoAI for Large-Scale Image Analysis and Machine Vision: Recent Progress of Artificial Intelligence in Geography
inferredcites →https://doi.org/10.3390/rs13020171openalex-extracted
Detailed Characterization and Monitoring of a Retrogressive Thaw Slump from Remotely Piloted Aircraft Systems and Identifying Associated Influence on Carbon and Nitrogen Export
inferredcites →https://doi.org/10.3390/rs13112116openalex-extracted
Knowledge-Driven GeoAI: Integrating Spatial Knowledge into Multi-Scale Deep Learning for Mars Crater Detection
inferredcites →https://doi.org/10.3390/rs13214294openalex-extracted
Developing and Testing a Deep Learning Approach for Mapping Retrogressive Thaw Slumps
inferredcites →https://doi.org/10.3390/rs14122747openalex-extracted
Accuracy, Efficiency, and Transferability of a Deep Learning Model for Mapping Retrogressive Thaw Slumps across the Canadian Arctic
inferredcites →https://doi.org/10.3390/rs14174132openalex-extracted
Automated Detection of Retrogressive Thaw Slumps in the High Arctic Using High-Resolution Satellite Imagery
inferredcites →https://doi.org/10.3390/s19040866openalex-extracted
Exploring RGB+Depth Fusion for Real-Time Object Detection
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-extracted
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1706.05587openalex-extracted
Rethinking Atrous Convolution for Semantic Image Segmentation
inferredcites →https://doi.org/10.48550/arxiv.1711.10398openalex-extracted
DOTA: A Large-scale Dataset for Object Detection in Aerial Images
inferredcites →https://doi.org/10.48550/arxiv.2003.02899openalex-extracted
Segmentation of Satellite Imagery using U-Net Models for Land Cover Classification
inferredcites →https://doi.org/10.5311/josis.2020.20.658openalex-extracted
GeoAI: Where machine learning and big data converge in GIScience
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