Improving Interpretability of Deep Active Learning for Flood Inundation Mapping Through Class Ambiguity Indices Using Multi-spectral Satellite Imagery

29 April 2024

Papers citing "Improving Interpretability of Deep Active Learning for Flood Inundation Mapping Through Class Ambiguity Indices Using Multi-spectral Satellite Imagery"

9 / 9 papers shown

Title
A multi-scale vision transformer-based multimodal GeoAI model for mapping Arctic permafrost thaw Wenwen Li Chia-Yu Hsu Sizhe Wang Zhining Gu Yili Yang Brendan M. Rogers A. Liljedahl 61 0 0 23 Apr 2025
Geospatial Artificial Intelligence for Satellite-based Flood Extent Mapping: Concepts, Advances, and Future Perspectives Hyunho Lee Wenwen Li AI4CE 43 0 0 03 Apr 2025
Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping Wenwen Li Chia-Yu Hsu Sizhe Wang Yezhou Yang Hyunho Lee ... Brendan M. Rogers S. Arundel Matthew B. Jones Kenton McHenry Patricia Solis VLM 41 13 0 16 Jan 2024
DEAL: Difficulty-aware Active Learning for Semantic Segmentation Shuai Xie Zunlei Feng Ying Chen Songtao Sun Chao Ma Xiuming Zhang VLM 125 50 0 17 Oct 2020
Deep Active Learning in Remote Sensing for data efficient Change Detection Vít Ruzicka Stefano Dáronco Jan Dirk Wegner Konrad Schindler 37 29 0 25 Aug 2020
Deep High-Resolution Representation Learning for Visual Recognition Jingdong Wang Ke Sun Tianheng Cheng Borui Jiang Chaorui Deng ... Yadong Mu Mingkui Tan Xinggang Wang Wenyu Liu Bin Xiao 195 3,531 0 20 Aug 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 324 75,834 0 18 May 2015