mlsanityData to 7 Oct 2026

Recent progress in semantic image segmentation

arXiv 1809.10198 ↗First posted 20 Sep 2018cs.CVcited by 39

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Abstract (arXiv)

Semantic image segmentation, which becomes one of the key applications in image processing and computer vision domain, has been used in multiple domains such as medical area and intelligent transportation. Lots of benchmark datasets are released for researchers to verify their algorithms. Semantic segmentation has been studied for many years. Since the emergence of Deep Neural Network (DNN), segmentation has made a tremendous progress. In this paper, we divide semantic image segmentation methods into two categories: traditional and recent DNN method. Firstly, we briefly summarize the traditional method as well as datasets released for segmentation, then we comprehensively investigate recent methods based on DNN which are described in the eight aspects: fully convolutional network, upsample ways, FCN joint with CRF methods, dilated convolution approaches, progresses in backbone network, pyramid methods, Multi-level feature and multi-stage method, supervised, weakly-supervised and unsupervised methods. Finally, a conclusion in this area is drawn.

Key facts. Cited by 39 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Sep 2018.

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Citing papers per year: 2021: 13; 2022: 8; 2023: 6; 2024: 6; 2025: 5; 2026: 1.

39 papers.

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  1. 2024Image Segmentation in Foundation Model Era: A Surveycited by 35
  2. 2023A survey of the Vision Transformers and their CNN-Transformer based Variantscited by 33
  3. 2023Image Data Augmentation Approaches: A Comprehensive Survey and Future directionscited by 23
  4. 2023A Recent Survey of Vision Transformers for Medical Image Segmentationcited by 22
  5. 2021Modality specific U-Net variants for biomedical image segmentation: A surveycited by 20
  6. 2021Hybrid quantum convolutional neural networks model for COVID-19 prediction using chest X-Ray imagescited by 16
  7. 2021Membership Inference Attacks are Easier on Difficult Problemscited by 16
  8. 2022Image and Model Transformation with Secret Key for Vision Transformercited by 12
  9. 2024RS-vHeat: Heat Conduction Guided Efficient Remote Sensing Foundation Modelcited by 11
  10. 2021When Differential Privacy Meets Interpretability: A Case Studycited by 8
  11. 2022Mixture Domain Adaptation to Improve Semantic Segmentation in Real-World Surveillancecited by 7
  12. 2021MEAL: Manifold Embedding-based Active Learningcited by 5
27 more
  1. 2021Access Control Using Spatially Invariant Permutation of Feature Maps for Semantic Segmentation Modelscited by 4
  2. 2022A Saliency-Guided Street View Image Inpainting Framework for Efficient Last-Meters Wayfindingcited by 4
  3. 2022Using U-Net Network for Efficient Brain Tumor Segmentation in MRI Imagescited by 4
  4. 2021MudrockNet: Semantic Segmentation of Mudrock SEM Images through Deep Learningcited by 3
  5. 2022Access Control of Semantic Segmentation Models Using Encrypted Feature Mapscited by 3
  6. 2021UCNN: A Convolutional Strategy on Unstructured Meshcited by 2
  7. 2025Benchmarking Vision-Language and Multimodal Large Language Models in Zero-shot and Few-shot Scenarios: A study on Christian Iconographycited by 2
  8. 2025The SAM2-to-SAM3 Gap in the Segment Anything Model Family: Why Prompt-Based Expertise Fails in Concept-Driven Image Segmentationcited by 2
  9. 2022Access Control of Object Detection Models Using Encrypted Feature Mapscited by 1
  10. 2024FusionVision: A comprehensive approach of 3D object reconstruction and segmentation from RGB-D cameras using YOLO and fast segment anythingcited by 1
  11. 2024MFA-Net: Multi-Scale feature fusion attention network for liver tumor segmentationcited by 1
  12. 2024CS3: Cascade SAM for Sperm Segmentationcited by 1
  13. 2021A Pressure Ulcer Care System For Remote Medical Assistance: Residual U-Net with an Attention Model Based for Wound Area Segmentationcited by 0
  14. 2021Automatic Liver Segmentation from CT Images Using Deep Learning Algorithms: A Comparative Studycited by 0
  15. 2021Phase Space Reconstruction Network for Lane Intrusion Action Recognitioncited by 0
  16. 2021High-Resolution Segmentation of Tooth Root Fuzzy Edge Based on Polynomial Curve Fitting with Landmark Detectioncited by 0
  17. 2021Design and Development of Autonomous Delivery Robotcited by 0
  18. 2022Self Semi Supervised Neural Architecture Search for Semantic Segmentationcited by 0
  19. 2022An Encryption Method of ConvMixer Models without Performance Degradationcited by 0
  20. 2023FMAS: Fast Multi-Objective SuperNet Architecture Search for Semantic Segmentationcited by 0
  21. 2023Domain Adaptive Semantic Segmentation by Optimal Transportcited by 0
  22. 2023Survey on Computer Vision Techniques for Internet-of-Things Devicescited by 0
  23. 2024Feature boosting with efficient attention for scene parsingcited by 0
  24. 2025Post Processing of image segmentation using Conditional Random Fieldscited by 0
  25. 2025J-RAS: Mutual Adaptation for Medical Image Segmentation via Contrastive Retrieval-Augmented Joint Optimizationcited by 0
  26. 2025FRBNet: Revisiting Low-Light Vision through Frequency-Domain Radial Basis Networkcited by 0
  27. 2026Brain Tumor Segmentation with Special Emphasis on the Non-Enhancing Brain Tumor Compartmentcited by 0