mlsanityData to 14 Oct 2026

Recurrent U-Net for Resource-Constrained Segmentation

arXiv 1906.04913 ↗First posted 11 Jun 2019cs.CVcited by 27

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Abstract (arXiv)

State-of-the-art segmentation methods rely on very deep networks that are not always easy to train without very large training datasets and tend to be relatively slow to run on standard GPUs. In this paper, we introduce a novel recurrent U-Net architecture that preserves the compactness of the original U-Net, while substantially increasing its performance to the point where it outperforms the state of the art on several benchmarks. We will demonstrate its effectiveness for several tasks, including hand segmentation, retina vessel segmentation, and road segmentation. We also introduce a large-scale dataset for hand segmentation.

Key facts. Cited by 27 papers in the map (data through 14 Oct 2026). First posted on arXiv 11 Jun 2019.

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Citing papers per year: 2021: 13; 2022: 6; 2023: 1; 2024: 4; 2025: 2; 2026: 1.

27 papers.

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  1. 2021Efficient Medical Image Segmentation Based on Knowledge Distillationcited by 43
  2. 2021FANet: A Feedback Attention Network for Improved Biomedical Image Segmentationcited by 36
  3. 2021BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentationcited by 13
  4. 2024Enabling Uncertainty Estimation in Iterative Neural Networkscited by 11
  5. 2021Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Searchcited by 8
  6. 2022PLGAN: Generative Adversarial Networks for Power-Line Segmentation in Aerial Imagescited by 7
  7. 2021Learning With Context Feedback Loop for Robust Medical Image Segmentationcited by 6
  8. 2022Implementation of a Modified U-Net for Medical Image Segmentation on Edge Devicescited by 6
  9. 2024IT3: Idempotent Test-Time Trainingcited by 6
  10. 2021Single Image Deraining Network with Rain Embedding Consistency and Layered LSTMcited by 4
  11. 2021Data Uncertainty Guided Noise-aware Preprocessing Of Fingerprintscited by 3
  12. 2022Towards Bi-directional Skip Connections in Encoder-Decoder Architectures and Beyondcited by 3
15 more
  1. 2022JoJoNet: Joint-contrast and Joint-sampling-and-reconstruction Network for Multi-contrast MRIcited by 3
  2. 2021Sensor-invariant Fingerprint ROI Segmentation Using Recurrent Adversarial Learningcited by 2
  3. 2021Search for temporal cell segmentation robustness in phase-contrast microscopy videoscited by 2
  4. 2022Semantic decomposition Network with Contrastive and Structural Constraints for Dental Plaque Segmentationcited by 2
  5. 2024The Collection of a Human Robot Collaboration Dataset for Cooperative Assembly in Glovebox Environmentscited by 2
  6. 2021Adjusting the Ground Truth Annotations for Connectivity-Based Learning to Delineatecited by 1
  7. 2022EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentationcited by 1
  8. 2023RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinementcited by 1
  9. 2021ItNet: iterative neural networks with small graphs for accurate, efficient and anytime semantic segmentationcited by 0
  10. 2021Object Based Attention Through Internal Gatingcited by 0
  11. 2021PL-Net: Progressive Learning Network for Medical Image Segmentationcited by 0
  12. 2024IR2QSM: Quantitative Susceptibility Mapping via Deep Neural Networks with Iterative Reverse Concatenations and Recurrent Modulescited by 0
  13. 2025Deep Feedback Modelscited by 0
  14. 2025Auto-Regressive U-Net for Full-Field Prediction of Shrinkage-Induced Damage in Concretecited by 0
  15. 2026Neural Architecture Distributions: A New Paradigm for Stochastic Segmentationcited by 0