NPALOSS: NEIGHBORING PIXEL AFFINITY LOSS FOR SEMANTIC SEGMENTATION IN HIGH-RESOLUTION AERIAL IMAGERY

12 citations as recorded by crossref.

1. Hybrid Multiple Attention Network for Semantic Segmentation in Aerial Images R. Niu et al. 10.1109/TGRS.2021.3065112
2. Improving Semantic Segmentation in Aerial Imagery via Graph Reasoning and Disentangled Learning R. Niu et al. 10.1109/TGRS.2021.3121471
3. Step-by-Step: Efficient Ship Detection in Large-Scale Remote Sensing Images W. Cao et al. 10.1109/JSTARS.2024.3429395
4. A Deformable Attention Network for High-Resolution Remote Sensing Images Semantic Segmentation R. Zuo et al. 10.1109/TGRS.2021.3119537
5. MoCG: Modality Characteristics-Guided Semantic Segmentation in Multimodal Remote Sensing Images S. Xiao et al. 10.1109/TGRS.2023.3334471
6. Urban Aquatic Scene Expansion for Semantic Segmentation in Cityscapes Z. Yue et al. 10.3390/urbansci8020023
7. Continual Learning With Structured Inheritance for Semantic Segmentation in Aerial Imagery Y. Feng et al. 10.1109/TGRS.2021.3076664
8. River Extraction Method of Remote Sensing Image Based on Edge Feature Fusion B. Guo et al. 10.1109/ACCESS.2023.3296641
9. DF2RQ: Dynamic Feature Fusion via Region-Wise Queries for Semantic Segmentation of Multimodal Remote Sensing Data S. Feng et al. 10.1109/TGRS.2025.3526247
10. Random Topology and Random Multiscale Mapping: An Automated Design of Multiscale and Lightweight Neural Network for Remote-Sensing Image Recognition J. Li et al. 10.1109/TGRS.2021.3102988
11. AgMTR: Agent Mining Transformer for Few-Shot Segmentation in Remote Sensing H. Bi et al. 10.1007/s11263-024-02252-y
12. Multi‐scale network for remote sensing segmentation G. Wang et al. 10.1049/ipr2.12444