mlsanityData to 7 Oct 2026

HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS

arXiv 2101.07172 ↗First posted 18 Jan 2021cs.CVcited by 71

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Abstract (arXiv)

We propose a new convolution neural network called HarDNet-MSEG for polyp segmentation. It achieves SOTA in both accuracy and inference speed on five popular datasets. For Kvasir-SEG, HarDNet-MSEG delivers 0.904 mean Dice running at 86.7 FPS on a GeForce RTX 2080 Ti GPU. It consists of a backbone and a decoder. The backbone is a low memory traffic CNN called HarDNet68, which has been successfully applied to various CV tasks including image classification, object detection, multi-object tracking and semantic segmentation, etc. The decoder part is inspired by the Cascaded Partial Decoder, known for fast and accurate salient object detection. We have evaluated HarDNet-MSEG using those five popular datasets. The code and all experiment details are available at Github. https://github.com/james128333/HarDNet-MSEG

Key facts. Cited by 71 papers in the map (data through 7 Oct 2026). Builds on 25 of its 36 references that are in the map. First posted on arXiv 18 Jan 2021.

Builds on

25 of 36 references.

References · 25

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
  3. 2016Densely Connected Convolutional Networkscited by 6,691
  4. 2014Fully Convolutional Networks for Semantic Segmentationcited by 4,845
  5. 2016The Cityscapes Dataset for Semantic Urban Scene Understandingcited by 4,427
  6. 2018Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentationcited by 3,210
  7. 2018UNet++: A Nested U-Net Architecture for Medical Image Segmentationcited by 1,518
  8. 2015SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentationcited by 1,483
  9. 2018Dual Attention Network for Scene Segmentationcited by 1,001
  10. 2014Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognitioncited by 719
  11. 2019Kvasir-SEG: A Segmented Polyp Datasetcited by 588
  12. 2020PraNet: Parallel Reverse Attention Network for Polyp Segmentationcited by 460
13 more
  1. 2017Deep Layer Aggregationcited by 436
  2. 2016A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Imagescited by 220
  3. 2016SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image Captioningcited by 219
  4. 2019Cascaded Partial Decoder for Fast and Accurate Salient Object Detectioncited by 216
  5. 2019ResUNet++: An Advanced Architecture for Medical Image Segmentationcited by 211
  6. 2015Attention to Scale: Scale-aware Semantic Image Segmentationcited by 169
  7. 2017Receptive Field Block Net for Accurate and Fast Object Detectioncited by 140
  8. 2020DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentationcited by 125
  9. 2019HarDNet: A Low Memory Traffic Networkcited by 76
  10. 2018Polyp Segmentation in Colonoscopy Images Using Fully Convolutional Networkcited by 33
  11. 2013Automated polyp detection in colon capsule endoscopycited by 30
  12. 2020Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learningcited by 13
  13. 2018Y-Net: A deep Convolutional Neural Network for Polyp Detectioncited by 10

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 7; 2022: 17; 2023: 26; 2024: 11; 2025: 9; 2026: 1.

71 papers.

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  1. 2021TransFuse: Fusing Transformers and CNNs for Medical Image Segmentationcited by 258
  2. 2021Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformerscited by 159
  3. 2021DS-TransUNet:Dual Swin Transformer U-Net for Medical Image Segmentationcited by 126
  4. 2023AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encodercited by 70
  5. 2022TGANet: Text-guided attention for improved polyp segmentationcited by 59
  6. 2023Can SAM Segment Polyps?cited by 59
  7. 2021NeoUNet: Towards accurate colon polyp segmentation and neoplasm detectioncited by 50
  8. 2022FCN-Transformer Feature Fusion for Polyp Segmentationcited by 37
  9. 2022ColonFormer: An Efficient Transformer based Method for Colon Polyp Segmentationcited by 28
  10. 2022Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challengecited by 27
  11. 2023TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testingcited by 26
  12. 2022DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentationcited by 22
38 more
  1. 2023Polyp-SAM++: Can A Text Guided SAM Perform Better for Polyp Segmentation?cited by 22
  2. 2022FUSeg: The Foot Ulcer Segmentation Challengecited by 21
  3. 2022TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentationcited by 19
  4. 2023A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future Trendscited by 12
  5. 2022BlazeNeo: Blazing fast polyp segmentation and neoplasm detectioncited by 10
  6. 2022Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image Segmentationcited by 9
  7. 2023Polyper: Boundary Sensitive Polyp Segmentationcited by 8
  8. 2024Polyp SAM 2: Advancing Zero shot Polyp Segmentation in Colorectal Cancer Detectioncited by 8
  9. 2025Does DINOv3 Set a New Medical Vision Standard? Benchmarking 2D and 3D Classification, Segmentation, and Registrationcited by 7
  10. 2021AG-CUResNeSt: A Novel Method for Colon Polyp Segmentationcited by 6
  11. 2022XBound-Former: Toward Cross-scale Boundary Modeling in Transformerscited by 6
  12. 2022HarDNet-DFUS: An Enhanced Harmonically-Connected Network for Diabetic Foot Ulcer Image Segmentation and Colonoscopy Polyp Segmentationcited by 6
  13. 2022DilatedSegNet: A Deep Dilated Segmentation Network for Polyp Segmentationcited by 6
  14. 2023Meta-Polyp: a baseline for efficient Polyp segmentationcited by 6
  15. 2023SeUNet-Trans: A Simple yet Effective UNet-Transformer Model for Medical Image Segmentationcited by 6
  16. 2024Self-Prompting Polyp Segmentation in Colonoscopy using Hybrid Yolo-SAM 2 Modelcited by 6
  17. 2022Towards Complex Backgrounds: A Unified Difference-Aware Decoder for Binary Segmentationcited by 5
  18. 2023MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis Attentioncited by 5
  19. 2024Colorectal Polyp Segmentation in the Deep Learning Era: A Comprehensive Surveycited by 5
  20. 2023Edge-aware Feature Aggregation Network for Polyp Segmentationcited by 4
  21. 2023HST-MRF: Heterogeneous Swin Transformer with Multi-Receptive Field for Medical Image Segmentationcited by 3
  22. 2023SegT: A Novel Separated Edge-guidance Transformer Network for Polyp Segmentationcited by 3
  23. 2023Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challengescited by 3
  24. 2024Multi-scale Information Sharing and Selection Network with Boundary Attention for Polyp Segmentationcited by 3
  25. 2025LGPS: A Lightweight GAN-Based Approach for Polyp Segmentation in Colonoscopy Imagescited by 3
  26. 2022Synthetic data for unsupervised polyp segmentationcited by 2
  27. 2022LAPFormer: A Light and Accurate Polyp Segmentation Transformercited by 2
  28. 2023Cooperation Learning Enhanced Colonic Polyp Segmentation Based on Transformer-CNN Fusioncited by 2
  29. 2023UGCANet: A Unified Global Context-Aware Transformer-based Network with Feature Alignment for Endoscopic Image Analysiscited by 2
  30. 2023RaBiT: An Efficient Transformer using Bidirectional Feature Pyramid Network with Reverse Attention for Colon Polyp Segmentationcited by 2
  31. 2023Joint one-sided synthetic unpaired image translation and segmentation for colorectal cancer preventioncited by 2
  32. 2023Multi-level feature fusion network combining attention mechanisms for polyp segmentationcited by 2
  33. 2023Segment Anything Model-guided Collaborative Learning Network for Scribble-supervised Polyp Segmentationcited by 2
  34. 2024Multi-Layer Dense Attention Decoder for Polyp Segmentationcited by 2
  35. 2024An Enhanced Harmonic Densely Connected Hybrid Transformer Network Architecture for Chronic Wound Segmentation Utilising Multi-Colour Space Tensor Mergingcited by 2
  36. 2025WoundAmbit: Bridging State-of-the-Art Semantic Segmentation and Real-World Wound Carecited by 2
  37. 2021Deep ensembles based on Stochastic Activation Selection for Polyp Segmentationcited by 1
  38. 2021Deep ensembles in bioimage segmentationcited by 1

50 most cited of 71 All 71 (JSON)