mlsanityData to 7 Oct 2026

SPAN: Spatial Pyramid Attention Network forImage Manipulation Localization

arXiv 2009.00726 ↗First posted 1 Sep 2020cs.CVcited by 92

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Abstract (arXiv)

We present a novel framework, Spatial Pyramid Attention Network (SPAN) for detection and localization of multiple types of image manipulations. The proposed architecture efficiently and effectively models the relationship between image patches at multiple scales by constructing a pyramid of local self-attention blocks. The design includes a novel position projection to encode the spatial positions of the patches. SPAN is trained on a generic, synthetic dataset but can also be fine tuned for specific datasets; The proposed method shows significant gains in performance on standard datasets over previous state-of-the-art methods.

Key facts. Cited by 92 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Sep 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 11; 2022: 19; 2023: 19; 2024: 19; 2025: 16; 2026: 8.

92 papers.

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  1. 2023Hierarchical Fine-Grained Image Forgery Detection and Localizationcited by 134
  2. 2021PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localizationcited by 133
  3. 2022TruFor: Leveraging all-round clues for trustworthy image forgery detection and localizationcited by 130
  4. 2021MVSS-Net: Multi-View Multi-Scale Supervised Networks for Image Manipulation Detectioncited by 117
  5. 2023Explicit Visual Prompting for Low-Level Structure Segmentationscited by 113
  6. 2021Image Manipulation Detection by Multi-View Multi-Scale Supervisioncited by 111
  7. 2024FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Modelscited by 111
  8. 2023EditGuard: Versatile Image Watermarking for Tamper Localization and Copyright Protectioncited by 109
  9. 2021Learning JPEG Compression Artifacts for Image Manipulation Detection and Localizationcited by 78
  10. 2022ObjectFormer for Image Manipulation Detection and Localizationcited by 78
  11. 2021Making Images Real Again: A Comprehensive Survey on Deep Image Compositioncited by 63
  12. 2023IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformercited by 42
38 more
  1. 2024IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localizationcited by 42
  2. 2022Visual Attention Methods in Deep Learning: An In-Depth Surveycited by 37
  3. 2024Mesoscopic Insights: Orchestrating Multi-scale & Hybrid Architecture for Image Manipulation Localizationcited by 35
  4. 2023Pixel-Inconsistency Modeling for Image Manipulation Localizationcited by 33
  5. 2021TransForensics: Image Forgery Localization with Dense Self-Attentioncited by 26
  6. 2021Self-Adversarial Training incorporating Forgery Attention for Image Forgery Localizationcited by 24
  7. 2023Weakly-supervised deepfake localization in diffusion-generated imagescited by 24
  8. 2023Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learningcited by 23
  9. 2023Pre-training-free Image Manipulation Localization through Non-Mutually Exclusive Contrastive Learningcited by 23
  10. 2023Rethinking Image Editing Detection in the Era of Generative AI Revolutioncited by 21
  11. 2024TGIF: Text-Guided Inpainting Forgery Datasetcited by 20
  12. 2022Learning to Immunize Images for Tamper Localization and Self-Recoverycited by 19
  13. 2024GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localizationcited by 19
  14. 2023Explicit Visual Prompting for Universal Foreground Segmentationscited by 17
  15. 2024DeCLIP: Decoding CLIP representations for deepfake localizationcited by 17
  16. 2024Language-guided Hierarchical Fine-grained Image Forgery Detection and Localizationcited by 16
  17. 2021Thermal Infrared Image Colorization for Nighttime Driving Scenes with Top-Down Guided Attentioncited by 15
  18. 2024Exploring Multi-view Pixel Contrast for General and Robust Image Forgery Localizationcited by 15
  19. 2022CFL-Net: Image Forgery Localization Using Contrastive Learningcited by 12
  20. 2024FlexEdit: Flexible and Controllable Diffusion-based Object-centric Image Editingcited by 12
  21. 2021GCA-Net : Utilizing Gated Context Attention for Improving Image Forgery Localization and Detectioncited by 11
  22. 2024ForgeryGPT: A Multimodal LLM for Interpretable Image Forgery Detection and Localizationcited by 11
  23. 2024ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detectioncited by 11
  24. 2023DRAW: Defending Camera-shooted RAW against Image Manipulationcited by 10
  25. 2022Comprint: Image Forgery Detection and Localization using Compression Fingerprintscited by 9
  26. 2022VideoFACT: Detecting Video Forgeries Using Attention, Scene Context, and Forensic Tracescited by 9
  27. 2022Towards Effective Image Manipulation Detection with Proposal Contrastive Learningcited by 8
  28. 2023TBFormer: Two-Branch Transformer for Image Forgery Localizationcited by 8
  29. 2023A New Benchmark and Model for Challenging Image Manipulation Detectioncited by 8
  30. 2024ForgeryTTT: Zero-Shot Image Manipulation Localization with Test-Time Trainingcited by 8
  31. 2021DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel Pathology Image Analysiscited by 7
  32. 2024Fusion Transformer with Object Mask Guidance for Image Forgery Analysiscited by 7
  33. 2025M2SFormer: Multi-Spectral and Multi-Scale Attention with Edge-Aware Difficulty Guidance for Image Forgery Localizationcited by 6
  34. 2025ForensicsSAM: Toward Robust and Unified Image Forgery Detection and Localization Resisting to Adversarial Attackcited by 6
  35. 2022ReLoc: A Restoration-Assisted Framework for Robust Image Tampering Localizationcited by 5
  36. 2023TrainFors: A Large Benchmark Training Dataset for Image Manipulation Detection and Localizationcited by 5
  37. 2023MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localizationcited by 5
  38. 2023Pyramid Pixel Context Adaption Network for Medical Image Classification with Supervised Contrastive Learningcited by 4

50 most cited of 92 All 92 (JSON)