EVALUATION OF UNet AND UNet++ ARCHITECTURES IN HIGH RESOLUTION IMAGE CHANGE DETECTION APPLICATIONS

40 citations as recorded by crossref.

1. Performance Improvement of Encoder/Decoder-Based CNN Architectures for Change Detection from Very High-Resolution Satellite Imagery E. Bousias Alexakis & C. Armenakis https://doi.org/10.1080/07038992.2021.1922880
2. A comprehensive review on deep supervision in computer vision R. Li et al. https://doi.org/10.1016/j.neucom.2025.132193
3. FDFF-Net: A Full-Scale Difference Feature Fusion Network for Change Detection in High-Resolution Remote Sensing Images F. Gu et al. https://doi.org/10.1109/JSTARS.2023.3335287
4. Behaviors of first-order optimizers in the context of sparse data and sparse models: A comparative study K. Bouanane et al. https://doi.org/10.1016/j.dsp.2024.104637
5. An unsupervised domain adaptation approach for change detection and its application to deforestation mapping in tropical biomes P. Soto Vega et al. https://doi.org/10.1016/j.isprsjprs.2021.08.026
6. Fusion of UNet and ResNet decisions for change detection using low and high spectral resolution images E. Brahim et al. https://doi.org/10.1007/s11760-024-03185-2
7. Volumetric defect classification in Nano-resolution X-ray computed tomography images of laser powder bed fusion via deep learning E. Vaghefi et al. https://doi.org/10.1016/j.jmapro.2024.05.030
8. Synthetic training data for CT image segmentation of microstructures L. Griem et al. https://doi.org/10.1016/j.actamat.2025.121220
9. Dynamic Detection of Forest Change in Hunan Province Based on Sentinel-2 Images and Deep Learning J. Xiang et al. https://doi.org/10.3390/rs15030628
10. Dilated TransUNet + +-Based Segmentation with Multi-Scale Adaptive DenseNet with Bi-LSTM Layer-Aided Prostate Cancer Classification Model T. Kurva & M. Malini https://doi.org/10.1142/S0219467826500038
11. Utilizing deep learning towards real-time snow cover detection and energy loss estimation for solar modules M. Araji et al. https://doi.org/10.1016/j.apenergy.2024.124201
12. SemiSANet: A Semi-Supervised High-Resolution Remote Sensing Image Change Detection Model Using Siamese Networks with Graph Attention C. Sun et al. https://doi.org/10.3390/rs14122801
13. SemiBuildingChange: A Semi-Supervised High-Resolution Remote Sensing Image Building Change Detection Method With a Pseudo Bitemporal Data Generator C. Sun et al. https://doi.org/10.1109/TGRS.2023.3321637
14. Interaction in Transformer for Change Detection in VHR Remote Sensing Images Z. Chen et al. https://doi.org/10.1109/TGRS.2023.3324025
15. Spatial-Temporal Evolution Guided Change Detection Network for Remote Sensing Images Q. Wang et al. https://doi.org/10.1109/JSTARS.2024.3439510
16. Ultrasound image segmentation of renal tumors based on UNet++ with fusion of multiscale residuals and dual attention H. Qi et al. https://doi.org/10.1088/1361-6560/ad2d7f
17. A Systematic Kidney Tumour Segmentation and Classification Framework Using Adaptive and Attentive-Based Deep Learning Networks With Improved Crayfish Optimization Algorithm V. Vasantbhai Patel et al. https://doi.org/10.1109/ACCESS.2024.3410833
18. OilSpillNet: A deep learning framework for accurate detection and segmentation of marine oil spills from imagery M. Elsheref et al. https://doi.org/10.1016/j.jece.2026.121714
19. Spatial–Spectral Attention Network Guided With Change Magnitude Image for Land Cover Change Detection Using Remote Sensing Images Z. Lv et al. https://doi.org/10.1109/TGRS.2022.3197901
20. SNUNet3+: A Full-Scale Connected Siamese Network and a Dataset for Cultivated Land Change Detection in High-Resolution Remote-Sensing Images L. Miao et al. https://doi.org/10.1109/TGRS.2023.3344284
21. An enhanced approach for chest X-ray image classification via residual EfficientNet-based LSTM layer with adaptive heuristic assisted segmentation for the early detection of diseases S. Gadde et al. https://doi.org/10.1080/00949655.2026.2636782
22. Enhancing a Building Change Detection Model in Remote Sensing Imagery for Encroachments and Construction on Government Lands in Egypt as a Case Study E. AbdElhamied et al. https://doi.org/10.3390/app15179407
23. Surrogate models for rock–fluid interaction: a grid-size-invariant approach N. Pinheiro et al. https://doi.org/10.1007/s00366-026-02353-x
24. Breast cancer image analysis utilizing feature fusion-based hybrid classification network influenced by adaptive u-net with generative adversarial segmentation network R. Kalavathi & M. Swamy Das https://doi.org/10.1177/18724981251318190
25. High-fidelity three-dimensional aerodynamic flow prediction on wings with physics-constrained dual-parallel attention UNet++ R. Cui et al. https://doi.org/10.1016/j.ast.2026.111846
26. An Advanced Brain Tumor Detection Model Using a Hybrid (1D/2D) Convolution-Based Efficient Attention Network with Image Feature Extraction R. Santhi et al. https://doi.org/10.1007/s11220-025-00573-x
27. Open-pit mine change detection from high resolution remote sensing images using DA-UNet++ and object-based approach S. Du et al. https://doi.org/10.1080/17480930.2022.2072102
28. A heuristic-inspired spatial ViT-based adaptive 3D efficient Unet++ module for volumetric brain tumour segmentation model with 3D brain images T. Krishnaveni & S. Kollem https://doi.org/10.1016/j.bspc.2026.110403
29. Interactive framework for Covid-19 detection and segmentation with feedback facility for dynamically improved accuracy and trust K. Sailunaz et al. https://doi.org/10.1371/journal.pone.0278487
30. Edge-CVT: Edge-informed CNN and vision transformer for building change detection in satellite imagery S. Holail et al. https://doi.org/10.1016/j.isprsjprs.2025.05.021
31. Weakly Supervised Domain Adversarial Neural Network for Deforestation Detection in Tropical Forests P. Vega et al. https://doi.org/10.1109/JSTARS.2023.3327573
32. MiM-UNet: An efficient building image segmentation network integrating state space models D. Liu et al. https://doi.org/10.1016/j.aej.2025.02.035
33. Research on Road Extraction From High-Resolution Remote Sensing Images Based on Improved UNet++ K. Li et al. https://doi.org/10.1109/ACCESS.2024.3385540
34. AETUnet: Enhancing Retinal Segmentation With Parameter-Efficient UNet Architecture and Lightweight Attention Mechanism K. Nazir & Y. Byun https://doi.org/10.1109/ACCESS.2025.3539372
35. Harnessing Time-Series Satellite Data and Deep Learning to Monitor Historical Patterns of Deforestation in Eastern Himalayan Foothills of India J. Bhuyan et al. https://doi.org/10.1007/s12524-025-02137-8
36. Skin Lesion Image Segmentation Algorithm Based on MC-UNet G. Yang & B. Pan https://doi.org/10.1109/ACCESS.2025.3531508
37. A Conditional Generative Adversarial Network for urban area classification using multi-source data A. Sirous et al. https://doi.org/10.1007/s12145-023-01050-3
38. Fast Mapping of Large-Scale Landslides in Sentinel-1 SAR Images Using SPAUNet X. Shi et al. https://doi.org/10.1109/JSTARS.2023.3310153
39. A Deep Learning Framework for Cervical Cancer Detection: UNet++ Segmentation and DenseNet-121 Classification M. Aaseegha & B. Venkataramana https://doi.org/10.1007/s40944-025-01074-1
40. 2.5D-UNet-HC: 2.5D-UNet Based on Hybrid Convolution for Prostate Ultrasound Image Segmentation S. Xing et al. https://doi.org/10.1109/ACCESS.2025.3620348