SEMI-SUPERVISED SEMANTIC SEGMENTATION NETWORK VIA LEARNING CONSISTENCY FOR REMOTE SENSING LAND-COVER CLASSIFICATION

9 citations as recorded by crossref.

1. Emergency-oriented fine change detection of flood-damaged farmland from medium-resolution remote sensing images G. Qin et al. 10.1016/j.jag.2025.104442
2. Deep Bilateral Filtering Network for Point-Supervised Semantic Segmentation in Remote Sensing Images L. Wu et al. 10.1109/TIP.2022.3222904
3. Deep Learning Methods for Semantic Segmentation in Remote Sensing with Small Data: A Survey A. Yu et al. 10.3390/rs15204987
4. In-Domain Supervised and Contrastive Self-Supervised Representation Learning for Dense Prediction Problems in Remote Sensing Imageries A. Ghanbarzadeh & H. Soleimani 10.1109/ACCESS.2024.3510779
5. SemiRoadExNet: A semi-supervised network for road extraction from remote sensing imagery via adversarial learning H. Chen et al. 10.1016/j.isprsjprs.2023.03.012
6. ConsInstancy: learning instance representations for semi-supervised panoptic segmentation of concrete aggregate particles M. Coenen et al. 10.1007/s00138-022-01313-x
7. Semi-supervised Deep Learning via Transformation Consistency Regularization for Remote Sensing Image Semantic Segmentation B. Zhang et al. 10.1109/JSTARS.2022.3203750
8. AP-Semi: Improving the Semi-Supervised Semantic Segmentation for VHR Images Through Adaptive Data Augmentation and Prototypical Sample Guidance L. Bai et al. 10.1109/TGRS.2024.3423010
9. SegMind: Semisupervised Remote Sensing Image Semantic Segmentation With Masked Image Modeling and Contrastive Learning Method Z. Li et al. 10.1109/TGRS.2023.3321041