mlsanityData to 14 Oct 2026

LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation

arXiv 1707.03718 ↗First posted 14 Jun 2017cs.CV cs.LGcited by 214

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Abstract (arXiv)

Pixel-wise semantic segmentation for visual scene understanding not only needs to be accurate, but also efficient in order to find any use in real-time application. Existing algorithms even though are accurate but they do not focus on utilizing the parameters of neural network efficiently. As a result they are huge in terms of parameters and number of operations; hence slow too. In this paper, we propose a novel deep neural network architecture which allows it to learn without any significant increase in number of parameters. Our network uses only 11.5 million parameters and 21.2 GFLOPs for processing an image of resolution 3x640x360. It gives state-of-the-art performance on CamVid and comparable results on Cityscapes dataset. We also compare our networks processing time on NVIDIA GPU and embedded system device with existing state-of-the-art architectures for different image resolutions.

Key facts. Cited by 214 papers in the map (data through 14 Oct 2026). First posted on arXiv 14 Jun 2017.

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Citing papers per year: 2021: 46; 2022: 44; 2023: 44; 2024: 27; 2025: 32; 2026: 21.

214 papers.

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  1. 2021LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentationcited by 261
  2. 2021Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalizationcited by 249
  3. 2022Transformers in Medical Imaging: A Surveycited by 245
  4. 2022SatlasPretrain: A Large-Scale Dataset for Remote Sensing Image Understandingcited by 167
  5. 2023A Billion-scale Foundation Model for Remote Sensing Imagescited by 62
  6. 2023SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challengecited by 56
  7. 2022EndoMapper dataset of complete calibrated endoscopy procedurescited by 53
  8. 2023Generalist Vision Foundation Models for Medical Imaging: A Case Study of Segment Anything Model on Zero-Shot Medical Segmentationcited by 51
  9. 2021Capturing Omni-Range Context for Omnidirectional Segmentationcited by 50
  10. 2023AdaptiveSAM: Towards Efficient Tuning of SAM for Surgical Scene Segmentationcited by 37
  11. 2023Using DUCK-Net for Polyp Image Segmentationcited by 31
  12. 2023Semantic Image Segmentation: Two Decades of Researchcited by 27
38 more
  1. 2022Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detectioncited by 26
  2. 2022Universal Adversarial Examples in Remote Sensing: Methodology and Benchmarkcited by 24
  3. 2023AerialFormer: Multi-resolution Transformer for Aerial Image Segmentationcited by 23
  4. 2021The Marine Debris Dataset for Forward-Looking Sonar Semantic Segmentationcited by 22
  5. 2022FUSeg: The Foot Ulcer Segmentation Challengecited by 22
  6. 2021ST-MTL: Spatio-Temporal Multitask Learning Model to Predict Scanpath While Tracking Instruments in Robotic Surgerycited by 20
  7. 2024Semi-Mamba-UNet: Pixel-Level Contrastive and Pixel-Level Cross-Supervised Visual Mamba-based UNet for Semi-Supervised Medical Image Segmentationcited by 20
  8. 2021A Fine-Grained Dataset and its Efficient Semantic Segmentation for Unstructured Driving Scenarioscited by 18
  9. 2021A Multi-Branch Hybrid Transformer Networkfor Corneal Endothelial Cell Segmentationcited by 18
  10. 2021SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Drivingcited by 18
  11. 2022DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensingcited by 17
  12. 2022Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Surveycited by 17
  13. 2023Unite-Divide-Unite: Joint Boosting Trunk and Structure for High-accuracy Dichotomous Image Segmentationcited by 17
  14. 2024Estimating Canopy Height at Scalecited by 16
  15. 2025BRISC: Annotated Dataset for Brain Tumor Segmentation and Classificationcited by 15
  16. 2022High-Definition Map Generation Technologies For Autonomous Drivingcited by 14
  17. 2023Computation-efficient Deep Learning for Computer Vision: A Surveycited by 14
  18. 2023FUSegNet: A Deep Convolutional Neural Network for Foot Ulcer Segmentationcited by 13
  19. 2021Learning Risk-aware Costmaps for Traversability in Challenging Environmentscited by 12
  20. 2022R2U++: A Multiscale Recurrent Residual U-Net with Dense Skip Connections for Medical Image Segmentationcited by 11
  21. 2024UrbanSARFloods: Sentinel-1 SLC-Based Benchmark Dataset for Urban and Open-Area Flood Mappingcited by 11
  22. 2021Evaluating Transformer-based Semantic Segmentation Networks for Pathological Image Segmentationcited by 10
  23. 2022DDU-Net: Dual-Decoder-U-Net for Road Extraction Using High-Resolution Remote Sensing Imagescited by 10
  24. 2021Automatic Foot Ulcer Segmentation Using an Ensemble of Convolutional Neural Networkscited by 9
  25. 2022Human-machine Interactive Tissue Prototype Learning for Label-efficient Histopathology Image Segmentationcited by 9
  26. 2021TATL: Task Agnostic Transfer Learning for Skin Attributes Detectioncited by 8
  27. 2021Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learningcited by 8
  28. 2022PointScatter: Point Set Representation for Tubular Structure Extractioncited by 8
  29. 2024Learning without Exact Guidance: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical Labelscited by 8
  30. 2021IPatch: A Remote Adversarial Patchcited by 7
  31. 2021Augmenting Depth Estimation with Geospatial Contextcited by 7
  32. 2022PLGAN: Generative Adversarial Networks for Power-Line Segmentation in Aerial Imagescited by 7
  33. 2022On Efficient Real-Time Semantic Segmentation: A Surveycited by 7
  34. 2023Deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networkscited by 7
  35. 2025Performance Evaluation of Deep Learning for Tree Branch Segmentation in Autonomous Forestry Systemscited by 7
  36. 2021Stable deep neural network architectures for mitochondria segmentation on electron microscopy volumescited by 6
  37. 2021Sk-Unet Model with Fourier Domain for Mitosis Detectioncited by 6
  38. 2021Aerial Images Meet Crowdsourced Trajectories: A New Approach to Robust Road Extractioncited by 6

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