mlsanityData to 7 Oct 2026

Robust Representation Learning with Feedback for Single Image Deraining

arXiv 2101.12463 ↗First posted 29 Jan 2021eess.IV cs.CVcited by 32

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Abstract (arXiv)

A deraining network can be interpreted as a conditional generator that aims at removing rain streaks from image. Most existing image deraining methods ignore model errors caused by uncertainty that reduces embedding quality. Unlike existing image deraining methods that embed low-quality features into the model directly, we replace low-quality features by latent high-quality features. The spirit of closed-loop feedback in the automatic control field is borrowed to obtain latent high-quality features. A new method for error detection and feature compensation is proposed to address model errors. Extensive experiments on benchmark datasets as well as specific real datasets demonstrate that the proposed method outperforms recent state-of-the-art methods. Code is available at: https://github.com/LI-Hao-SJTU/DerainRLNet

Key facts. Cited by 32 papers in the map (data through 7 Oct 2026). Builds on 21 of its 38 references that are in the map. First posted on arXiv 29 Jan 2021.

Builds on

21 of 38 references.

References · 21

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,029
  3. 2018Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentationcited by 3,210
  4. 2017What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?cited by 2,335
  5. 2018Group Normalizationcited by 1,514
  6. 2017Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semanticscited by 1,345
  7. 2014Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognitioncited by 719
  8. 2016Deep Joint Rain Detection and Removal from a Single Imagecited by 351
  9. 2019Progressive Image Deraining Networks: A Better and Simpler Baselinecited by 271
  10. 2020Multi-Scale Progressive Fusion Network for Single Image Derainingcited by 259
  11. 2018Density-aware Single Image De-raining using a Multi-stream Dense Networkcited by 248
  12. 2014Understanding image representations by measuring their equivariance and equivalencecited by 240
9 more
  1. 2018Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Derainingcited by 205
  2. 2017Attentive Generative Adversarial Network for Raindrop Removal from a Single Imagecited by 204
  3. 2017Image De-raining Using a Conditional Generative Adversarial Networkcited by 197
  4. 2019Spatial Attentive Single-Image Deraining with a High Quality Real Rain Datasetcited by 192
  5. 2016Clearing the Skies: A deep network architecture for single-image rain removalcited by 136
  6. 2020A Model-driven Deep Neural Network for Single Image Rain Removalcited by 125
  7. 2019Uncertainty Guided Multi-Scale Residual Learning-using a Cycle Spinning CNN for Single Image De-Rainingcited by 117
  8. 2018Decoupled Learning for Conditional Adversarial Networkscited by 5
  9. 2019A Coarse-to-Fine Multi-stream Hybrid Deraining Network for Single Image Derainingcited by 5

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 4; 2022: 11; 2023: 5; 2024: 6; 2025: 3; 2026: 3.

32 papers.

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  1. 2021Unpaired Deep Image Deraining Using Dual Contrastive Learningcited by 60
  2. 2025Degradation-Aware Feature Perturbation for All-in-One Image Restorationcited by 39
  3. 2023Towards Unified Deep Image Deraining: A Survey and A New Benchmarkcited by 34
  4. 2022Unsupervised Deraining: Where Contrastive Learning Meets Self-similaritycited by 30
  5. 2021A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applicationscited by 24
  6. 2022FBNet: Feedback Network for Point Cloud Completioncited by 20
  7. 2023Networks are Slacking Off: Understanding Generalization Problem in Image Derainingcited by 14
  8. 2022Unsupervised Deraining: Where Asymmetric Contrastive Learning Meets Self-similaritycited by 7
  9. 2023Video Waterdrop Removal via Spatio-Temporal Fusion in Driving Scenescited by 7
  10. 2022LMQFormer: A Laplace-Prior-Guided Mask Query Transformer for Lightweight Snow Removalcited by 6
  11. 2024TANet: Triplet Attention Network for All-In-One Adverse Weather Image Restorationcited by 5
  12. 2021Single Image Deraining Network with Rain Embedding Consistency and Layered LSTMcited by 4
20 more
  1. 2024Adverse Weather Optical Flow: Cumulative Homogeneous-Heterogeneous Adaptationcited by 4
  2. 2025Revisiting the Generalization Problem of Low-level Vision Models Through the Lens of Image Derainingcited by 4
  3. 2022A comprehensive benchmark analysis for sand dust image reconstructioncited by 3
  4. 2023Unsupervised Hierarchical Domain Adaptation for Adverse Weather Optical Flowcited by 3
  5. 2024Collaborative Feedback Discriminative Propagation for Video Super-Resolutioncited by 2
  6. 2021TRNR: Task-Driven Image Rain and Noise Removal with a Few Images Based on Patch Analysiscited by 1
  7. 2022Global-Local Stepwise Generative Network for Ultra High-Resolution Image Restorationcited by 1
  8. 2024GAURA: Generalizable Approach for Unified Restoration and Rendering of Arbitrary Viewscited by 1
  9. 2022Uncertainty-Aware Cascaded Dilation Filtering for High-Efficiency Derainingcited by 0
  10. 2022On Representation Learning with Feedbackcited by 0
  11. 2022Semi-MoreGAN: A New Semi-supervised Generative Adversarial Network for Mixture of Rain Removalcited by 0
  12. 2022Asymmetric Dual-Decoder U-Net for Joint Rain and Haze Removalcited by 0
  13. 2022Potential Auto-driving Threat: Universal Rain-removal Attackcited by 0
  14. 2023Decoupling Degradation and Content Processing for Adverse Weather Image Restorationcited by 0
  15. 2024Generalizing to Out-of-Sample Degradations via Model Reprogrammingcited by 0
  16. 2024Learning Dual Transformers for All-In-One Image Restoration from a Frequency Perspectivecited by 0
  17. 2025SemOD: Semantic Enabled Object Detection Network under Various Weather Conditionscited by 0
  18. 2026QuReC: All-in-One Image Restoration with Query-Specific Guidance and Local-Global Response Calibrationcited by 0
  19. 2026Beyond Uniform Restoration: Empowering All-in-One Restoration with Pixel-Level Multimodal Guidancecited by 0
  20. 2026DPC-Net: Dual-Prior Collaborative Network for All-in-One Image Restorationcited by 0