Image Corruption Robustness

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Overview

Image corruption robustness asks whether vision systems can keep recognizing, segmenting, or reasoning when blur, noise, weather, compression, lighting changes, or compound degradations alter their inputs. Common approaches use corruption augmentation, test-time adaptation, image restoration, or representations and losses designed to suppress nuisance variation; evaluations include suites such as CIFAR-C and ImageNet-C alongside medical, driving, and remote-sensing tasks. Work increasingly covers vision-language and foundation models, measuring severity, uncertainty, calibration, and downstream failures as well as accuracy. A key tension is whether gains on synthetic benchmarks transfer to real and unseen degradations, and how to improve reliability without sacrificing clean-data performance or masking confidence failures.

Latest papers

CardsList

101 papers7 papers in the last four weeks, down 12% on the four weeks before. 0.0% of all new papers.

  1. uTHCD-C: A Corruption-Robustness Benchmark for Tamil Handwritten Character Recognition

    Oct 27, 2026Preethi S, Meeradevi T, Arun Prakash AImage Corruption RobustnessOptical Character Recognition

    Dept. of Electronics and Communication Engineering, Kongu Engineering College, Erode, Tamil Nadu, India · AI4Bharat, Indian Institute of Technology Madras, Chennai, Tamil Nadu, India

  2. The Batch Size Can Be One: Test-Time Adaptation from Classifier Geometry

    Oct 27, 2026Jaeho Hwang, Yujin Oh, Juhyeon Shin +3Test-Time AdaptationContinual Test-Time Adaptation

    Human-Centered Artificial Intelligence Research Institute, Ewha Womans University · Division of Artificial Intelligence & Software, Ewha Womans Univeristy · Interdisciplinary Program in Artificial Intelligence, Seoul National University

  3. CrowdCC: Jointly Benchmarking Corruption Robustness and Deployment Quantization in Crowd Counting

    Oct 26, 2026S Mahmudul Hasan, Lu PengCrowd CountingImage Corruption Robustness

    Tulane University

  4. Printed and Scanned: Exposing the Fragility of Single-Image Morphing Attack Detectors under Print-Scan Degradation

    Oct 26, 2026Diogo J. Paulo, Hugo Proença, João C. NevesImage Forgery DetectionFace Presentation Attack Detection

    University of Beira Interior · NOVA LINCS · IT: Instituto de Telecomunicac¸˜oes

  5. Beyond the Evidence Boundary: Behavioral Mirage Under Progressive Degradation in Medical VLMs

    Oct 20, 2026Edric Castel C. Hao, Rez Samantha Z. FlorescaMedical VLMsVLM Robustness

    Ateneo de Manila Senior High School

  6. Dual-Scale Condition-Shift Editing for Robust Real-World Image Demoiréing

    Oct 19, 2026Shiyang Zhou, Haijin Zeng, Congpei Qiu +6Image RestorationImage Corruption Robustness

    Harbin Institute of Technology, Shenzhen · Shenzhen Loop Area Institute · Xi’an Jiaotong University

  7. On the Intrinsic Limited Robustness of Latent-Based Watermarking

    Oct 6, 2026Cheng-Han Yeh, Kuan-chun Yu, Cheng-Chang Tsai +1Diffusion Model WatermarkingImage Corruption Robustness

    Institute of Information Science Academia Sinica Taipei, Taiwan (ROC)

  8. Towards Reliable Vision-Language Models for Autonomous Driving

    Oct 1, 2026Manasa Mariam Mammen, Priyanka Mary Mammen, Zafer Kayatas +1VLM RobustnessImage Corruption Robustness

    Technical University of Munich, Heilbronn, Germany · Mercedes Benz AG, Sindelfingen, Germany · University of Massachusetts, Amherst, USA

  9. Signal-Noise Factorization Isolates Nuisance Variation into Removable Subspaces

    Sep 30, 2026Sakin Kirti, Joel ZylberbergImage Corruption RobustnessInvariant Representation Learning

    Bioinformatics IDP, Jules Stein Eye Institute University of California, Los Angeles Los Angeles, CA 90095, USA · Jules Stein Eye Institute University of California, Los Angeles Los Angeles, CA, 90095, USA

  10. Raw Imagery Impacting Your AI: Should You Care?

    Sep 29, 2026Adrien Dorise, Marjorie Bellizzi, Stéphane MayRemote Sensing Small Object DetectionImage Corruption Robustness

    CNES, Toulouse, France · IRT Saint-Exupéry, Toulouse, France

  11. What Paired Evaluations Reveal under Visual Perturbations

    Sep 28, 2026Yongda Wei, Chen Zhang, Yifei Wang +4Image Corruption RobustnessAdversarial Robustness

  12. ENet-GP: Unified Document Image Restoration

    Sep 27, 2026Sujal Burad, Aakanksha, A. N. Rajagopalan +1Image Corruption RobustnessImage Restoration

    Indian Institute of Technology, Madras · Adobe, India

  13. REDACT: Robust Perceptive Locomotion under Unseen Visual Corruption

    Sep 21, 2026Natapat Kirdwichai, Tobias Driskell-Poole, Andrei Sontea +3Image Corruption RobustnessRobot Locomotion

    The authors are with the Faculty of Engineering and Physical Sciences and the Faculty of Environmental and Life Sciences, University of Southampton, United Kingdom.

  14. RSPDBench: Benchmarking Vision Foundation Models on Earth Observation Tasks Under Physically Grounded Remote-Sensing Product Degradations

    Sep 20, 2026Tanjim Bin Faruk, Khondaker Masfiq Reza, Shrideep Pallickara +1Image Corruption RobustnessGeospatial Foundation Models

    Colorado State University

  15. Sparsity-Adaptive Sharpness-Aware Minimization

    Sep 13, 2026Shiryu Ueno, Yoshikazu Hayashi, Kunihito KatoSparse Neural NetworksNeural Network Pruning

    Faculty of Engineering Gifu University Gifu, Japan

  16. Evaluating the Robustness of Anti-UAV Detection under Controlled Fog Degradation: Fog-Aware Training and Clear-Sky Tradeoff

    Sep 10, 2026Gur Levy Birkental, Seyed Sahand Mohammadi Ziabari, Ali Mohammed Mansoor AlsahagUAV DetectionObject Detection

    University of Amsterdam Amsterdam, The Netherlands · Department of Computer Science and Technology, SUNY Empire State University Saratoga Springs, NY, USA

  17. TaskGuard: Task-Conditioned Restoration Utility for Risk-Aware Object Detection

    Sep 7, 2026Vung PhamImage Corruption RobustnessImage Restoration

    Computer Science Department, Sam Houston State University, Huntsville, Texas, USA

  18. Benchmarking Spatial, Spectral, and Self-Supervised Cues for Face Forgery Detection under Realistic Degradation

    Sep 1, 2026Lucas Cunha, Lucas Sotomaior, Lucas Gasperin +3Image Corruption RobustnessImage Forgery Detection

    Pontifical Catholic University of Paraná, Curitiba, Brazil

  19. Failure or Drift? Evaluating Monocular SLAM under Synthetic and Real-World Corruptions

    Aug 31, 2026Abhay Skaria Thomas, Shashank Agnihotri, Margret KeuperSimultaneous Localization and MappingImage Corruption Robustness

    Machine Learning Group, University of Mannheim, Germany · Max-Planck-Institute for Informatics, Saarland Informatics Campus, Germany

  20. When Does Corruption Break the Plan? A Degradation-Tolerance Benchmark for Camera-Only End-to-End Driving

    Aug 29, 2026Haohua Que, Handong YaoAutonomous Driving BenchmarksEnd-to-End Autonomous Driving

    College of Engineering, University of Georgia, Athens, Georgia, USA

  21. Destroy Me: Automatic Artifact Generation for Histopathology Images

    Aug 27, 2026Zuzanna Krawczyk-Borysiak, Adam Krawczyk, Mateusz Miller +4Synthetic Data AugmentationImage Corruption Robustness

    IDEAS Research Institute, Poland · Warsaw University of Technology, Warsaw, Poland · Poznan University of Technology, Poznan, Poland +2

  22. TESTNAV: Pareto-Guided Search for Compositional Robustness Testing

    Aug 20, 2026Arooj Arif, Tobias Hartung, Elena Botoeva +1Neural Network RobustnessImage Corruption Robustness

    Northeastern University London · University of Kent

  23. PixRestore: Unified Image Restoration via Pixel Diffusion Transformer

    Aug 17, 2026Lingchen Sun, Rongyuan Wu, Xiangtao Kong +6All-in-One Image RestorationDegradation-Aware Image Restoration

    The Hong Kong Polytechnic University · OPPO Research Institute

  24. Degraded Infrared Small Object Detection via Degradation-Adapted Physics-Guided Restoration

    Aug 10, 2026Xinkai Lu, Wenjun Chen, Yi Li +2Image Corruption RobustnessPhysics-Guided Image Restoration

    National Key Lab of Multispectral Information Intelligent Processing Technology School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China · School of Ocean Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China

  25. RMR-Net: Degradation-Evidence-Guided Road-Image Restoration for Defect Detection

    Aug 9, 2026Amir Ghorbani, Amirali K. Gostar, WeiQin Chuah +3Image Corruption RobustnessImage Restoration

    School of Engineering, RMIT University, Melbourne, VIC 3000, Australia

  26. Bend the Basics: Degradation-Aware Deformable Tokenization for All-in-One Image Restoration

    Aug 7, 2026Zihao He, Yunfeng Wu, Xinchao Wang +1Image Corruption RobustnessAll-in-One Image Restoration

    School of Artificial Intelligence, Shanghai Jiao Tong University, Shanghai, China · Alibaba Group, Beijing, China · School of Advanced Technology, Xi’an Jiaotong-Liverpool University, Suzhou, China +1

  27. Suppress and Diversify: Refining Robust Pathways for Corruption Robustness

    Aug 7, 2026Jiangang Yang, Wenhui Shi, Xiaoran Xu +4Image Corruption RobustnessNeural Network Robustness

    Institute of Microelectronics, Chinese Academy of Sciences, Beijing, China · University of Chinese Science, Beijing, China

  28. CASIAL: Geometric Distortion Robust Image Watermarking

    Jul 29, 2026Yupeng Qiu, Han Fang, Ee-Chien ChangImage Corruption RobustnessRobust Watermarking

    School of Computing, National University of Singapore, Singapore · School of Cyber Science and Technology, University of Science and Technology of China, Hefei, Anhui, China

  29. ReLATE: Reliability-Guided Evidence Fusion for Robust UAV--Satellite cross-view Geo-Localization

    Jul 28, 2026Haochen Jiang, Jialei Pan, Yuzhe Sun +4Image Corruption RobustnessCross-View Geo-Localization

    School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China · National Key Laboratory of Radar Detection and Sensing, Nanjing Research Institute of Electronics Technology, Nanjing 210039, China · School of Electrical and Electronic Engineering, University of Manchester, Manchester M13 9PL, United Kingdom

  30. AI-interpreted Optical Scattering for Robust and Focal Depth-Aware Imaging

    Jul 24, 2026Eunji Ko, Patrick Ross, Corey Hart +1Image Corruption RobustnessComputational Imaging

    University of Maryland – College Park · Lockheed Martin