mlsanityData to 14 Oct 2026

Recasting Residual-based Local Descriptors as Convolutional Neural Networks: an Application to Image Forgery Detection

arXiv 1703.04615 ↗First posted 14 Mar 2017cs.CVcited by 56

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Abstract (arXiv)

Local descriptors based on the image noise residual have proven extremely effective for a number of forensic applications, like forgery detection and localization. Nonetheless, motivated by promising results in computer vision, the focus of the research community is now shifting on deep learning. In this paper we show that a class of residual-based descriptors can be actually regarded as a simple constrained convolutional neural network (CNN). Then, by relaxing the constraints, and fine-tuning the net on a relatively small training set, we obtain a significant performance improvement with respect to the conventional detector.

Key facts. Cited by 56 papers in the map (data through 14 Oct 2026). First posted on arXiv 14 Mar 2017.

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Citing papers per year: 2021: 25; 2022: 15; 2023: 11; 2024: 1; 2025: 2; 2026: 2.

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  1. 2023Towards Universal Fake Image Detectors that Generalize Across Generative Modelscited by 490
  2. 2021Multi-attentional Deepfake Detectioncited by 341
  3. 2021Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domaincited by 244
  4. 2021Frequency-aware Discriminative Feature Learning Supervised by Single-Center Loss for Face Forgery Detectioncited by 134
  5. 2022Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detectioncited by 130
  6. 2022Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalizationcited by 123
  7. 2021M2TR: Multi-modal Multi-scale Transformers for Deepfake Detectioncited by 114
  8. 2021Local Relation Learning for Face Forgery Detectioncited by 100
  9. 2023Robustness of AI-Image Detectors: Fundamental Limits and Practical Attackscited by 81
  10. 2022CORE: Consistent Representation Learning for Face Forgery Detectioncited by 74
  11. 2021Exploiting Fine-grained Face Forgery Clues via Progressive Enhancement Learningcited by 60
  12. 2022MARLIN: Masked Autoencoder for facial video Representation LearnINgcited by 57
38 more
  1. 2022SeeABLE: Soft Discrepancies and Bounded Contrastive Learning for Exposing Deepfakescited by 49
  2. 2022Exploring Frequency Adversarial Attacks for Face Forgery Detectioncited by 45
  3. 2023Glitch in the Matrix: A Large Scale Benchmark for Content Driven Audio-Visual Forgery Detection and Localizationcited by 43
  4. 2023Perceptual Artifacts Localization for Image Synthesis Taskscited by 43
  5. 2021Detect and Locate: Exposing Face Manipulation by Semantic- and Noise-level Telltalescited by 39
  6. 2022Exploring Disentangled Content Information for Face Forgery Detectioncited by 36
  7. 2022Explaining Deepfake Detection by Analysing Image Matchingcited by 34
  8. 2021Wavelet-Packets for Deepfake Image Analysis and Detectioncited by 25
  9. 2022GLFF: Global and Local Feature Fusion for AI-synthesized Image Detectioncited by 25
  10. 2021TAR: Generalized Forensic Framework to Detect Deepfakes using Weakly Supervised Learningcited by 19
  11. 2021FaceGuard: Proactive Deepfake Detectioncited by 16
  12. 2021Detection and Localization of Facial Expression Manipulationscited by 15
  13. 2021Deepfake Forensics via An Adversarial Gamecited by 15
  14. 2021Finding Facial Forgery Artifacts with Parts-Based Detectorscited by 14
  15. 2023Learning Pairwise Interaction for Generalizable DeepFake Detectioncited by 11
  16. 2021Metric Learning for Anti-Compression Facial Forgery Detectioncited by 9
  17. 2021Detection of Deepfake Videos Using Long Distance Attentioncited by 9
  18. 2022DeePhy: On Deepfake Phylogenycited by 8
  19. 2021A-PixelHop: A Green, Robust and Explainable Fake-Image Detectorcited by 7
  20. 2021Understanding the Security of Deepfake Detectioncited by 6
  21. 2022Multimodal Graph Learning for Deepfake Detectioncited by 6
  22. 2021TBNet:Two-Stream Boundary-aware Network for Generic Image Manipulation Localizationcited by 4
  23. 2021MD-CSDNetwork: Multi-Domain Cross Stitched Network for Deepfake Detectioncited by 4
  24. 2021Distinguishing Natural and Computer-Generated Images using Multi-Colorspace fused EfficientNetcited by 4
  25. 2023Undercover Deepfakes: Detecting Fake Segments in Videoscited by 4
  26. 2023Unmasking Deepfakes: Masked Autoencoding Spatiotemporal Transformers for Enhanced Video Forgery Detectioncited by 4
  27. 2022Attacking Image Splicing Detection and Localization Algorithms Using Synthetic Tracescited by 3
  28. 2023On quantifying and improving realism of images generated with diffusioncited by 3
  29. 2023GazeForensics: DeepFake Detection via Gaze-guided Spatial Inconsistency Learningcited by 3
  30. 2023Efficient Temporally-Aware DeepFake Detection using H.264 Motion Vectorscited by 3
  31. 2021Holistic Image Manipulation Detection using Pixel Co-occurrence Matricescited by 2
  32. 2021Automated Deepfake Detectioncited by 2
  33. 2025Image Watermarking of Generative Diffusion Modelscited by 2
  34. 2021Fake Visual Content Detection Using Two-Stream Convolutional Neural Networkscited by 1
  35. 2022Adaptive Frequency Learning in Two-branch Face Forgery Detectioncited by 1
  36. 2021MC-LCR: Multi-modal contrastive classification by locally correlated representations for effective face forgery detectioncited by 0
  37. 2021MissMarple : A Novel Socio-inspired Feature-transfer Learning Deep Network for Image Splicing Detectioncited by 0
  38. 2022Learning Robust Representations Of Generative Models Using Set-Based Artificial Fingerprintscited by 0

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