CLASSIFICATION UNDER LABEL NOISE BASED ON OUTDATED MAPS

6 citations as recorded by crossref.

1. PDAM: Prototype-Guided Dynamic and Attention-Aware Masking for Hyperspectral Classification with Noisy Labels Y. Zhang et al. https://doi.org/10.3390/rs18111831
2. Remote Sensing Mapping of Build-Up Land with Noisy Label via Fault-Tolerant Learning G. Xu et al. https://doi.org/10.3390/rs14092263
3. A label noise tolerant random forest for the classification of remote sensing data based on outdated maps for training A. Maas et al. https://doi.org/10.1016/j.cviu.2019.07.002
4. Object Extraction From Very High-Resolution Images Using a Convolutional Neural Network Based on a Noisy Large-Scale Dataset P. Li et al. https://doi.org/10.1109/ACCESS.2019.2938215
5. Ethics of Artificial Intelligence for Cultural Heritage: Opportunities and Challenges S. Tiribelli et al. https://doi.org/10.1109/TTS.2024.3432407
6. Robust Deep Neural Networks for Road Extraction From Remote Sensing Images P. Li et al. https://doi.org/10.1109/TGRS.2020.3023112