mlsanityData to 14 Oct 2026

Medical Manifestation-Aware De-Identification

arXiv 2412.10804 ↗First posted 14 Dec 2024cs.CV cs.AIcited by 4

Not on the map. Why?

Abstract (arXiv)

Face de-identification (DeID) has been widely studied for common scenes, but remains under-researched for medical scenes, mostly due to the lack of large-scale patient face datasets. In this paper, we release MeMa, consisting of over 40,000 photo-realistic patient faces. MeMa is re-generated from massive real patient photos. By carefully modulating the generation and data-filtering procedures, MeMa avoids breaching real patient privacy, while ensuring rich and plausible medical manifestations. We recruit expert clinicians to annotate MeMa with both coarse- and fine-grained labels, building the first medical-scene DeID benchmark. Additionally, we propose a baseline approach for this new medical-aware DeID task, by integrating data-driven medical semantic priors into the DeID procedure. Despite its conciseness and simplicity, our approach substantially outperforms previous ones. Dataset is available at https://github.com/tianyuan168326/MeMa-Pytorch.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 36 of its 69 references that are in the map. First posted on arXiv 14 Dec 2024.

Builds on

36 of 69 references.

References · 36

  1. 2017Attention Is All You Needcited by 60,361
  2. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  3. 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,380
  4. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,177
  5. 2023DINOv2: Learning Robust Visual Features without Supervisioncited by 7,974
  6. 2019Momentum Contrast for Unsupervised Visual Representation Learningcited by 7,513
  7. 2021Masked Autoencoders Are Scalable Vision Learnerscited by 7,403
  8. 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 6,013
  9. 2022LAION-5B: An open large-scale dataset for training next generation image-text modelscited by 4,152
  10. 2017Progressive Growing of GANs for Improved Quality, Stability, and Variationcited by 2,988
  11. 2015FaceNet: A Unified Embedding for Face Recognition and Clusteringcited by 2,849
  12. 2018CosFace: Large Margin Cosine Loss for Deep Face Recognitioncited by 971
24 more
  1. 2017VGGFace2: A dataset for recognising faces across pose and agecited by 914
  2. 2023Vision-Language Models for Vision Tasks: A Surveycited by 839
  3. 2017SphereFace: Deep Hypersphere Embedding for Face Recognitioncited by 737
  4. 2014Learning Face Representation from Scratchcited by 453
  5. 2016Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentationcited by 263
  6. 2018Human Action Recognition and Prediction: A Surveycited by 227
  7. 2023Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusioncited by 131
  8. 2023Unsupervised Semantic Correspondence Using Stable Diffusioncited by 120
  9. 2019DeepPrivacy: A Generative Adversarial Network for Face Anonymizationcited by 108
  10. 2020CIAGAN: Conditional Identity Anonymization Generative Adversarial Networkscited by 88
  11. 2021An Image is Worth 16x16 Words, What is a Video Worth?cited by 87
  12. 2018Learning to Anonymize Faces for Privacy Preserving Action Detectioncited by 63
  13. 2024Perceptual Video Quality Assessment: A Surveycited by 43
  14. 2023SD4Match: Learning to Prompt Stable Diffusion Model for Semantic Matchingcited by 38
  15. 2024GAIA: Rethinking Action Quality Assessment for AI-Generated Videoscited by 30
  16. 2019Password-conditioned Anonymization and Deanonymization with Face Identity Transformerscited by 24
  17. 2023RiDDLE: Reversible and Diversified De-identification with Latent Encryptorcited by 21
  18. 2021Self-Conditioned Probabilistic Learning of Video Rescalingcited by 19
  19. 2022A Coding Framework and Benchmark towards Low-Bitrate Video Understandingcited by 17
  20. 2021EAN: Event Adaptive Network for Enhanced Action Recognitioncited by 16
  21. 2024SMC++: Masked Learning of Unsupervised Video Semantic Compressioncited by 12
  22. 2024Free-VSC: Free Semantics from Visual Foundation Models for Unsupervised Video Semantic Compressioncited by 10
  23. 2023Disguise without Disruption: Utility-Preserving Face De-Identificationcited by 8
  24. 2023DHBE: Data-free Holistic Backdoor Erasing in Deep Neural Networks via Restricted Adversarial Distillationcited by 5

Built on by

Cited by year

Citing papers per year: 2025: 4.

4 papers.

  1. 2025Information Density Principle for MLLM Benchmarkscited by 9
  2. 2025Towards All-in-One Medical Image Re-Identificationcited by 6
  3. 2025Semantics versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identificationcited by 2
  4. 2025ROFI: A Deep Learning-Based Ophthalmic Sign-Preserving and Reversible Patient Face Anonymizercited by 1