Fetching the paper…
Reading the bibliography…
Most techniques approach the problem of image forgery localization as a binary segmentation task, training neural networks to label original areas as 0 and forged areas as 1.
A data set of authentic and spliced image blocks
Ng, T.-T.; Chang, S.-F.; and Sun, Q. 2004 · 2004
Earlier work this paper cites.
Casia image tampering detection evaluation database
Dong, J.; Wang, W.; and Tan, T. 2013 · 2013
Earlier work this paper cites.
Microsoft coco: Common objects in context
Lin, T.-Y.; Maire, M.; Belongie, S.; Hays, J.; Perona, P.; Ramanan, D.; Dollár, P.; and Zitnick, C. L. 2014 · 2014
Earlier work this paper cites.
Multi-scale analysis strategies in PRNU-based tampering localization
Korus, P.; and Huang, J. 2016 · 2016
Earlier work this paper cites.
COVERAGE—A novel database for copy-move forgery detection
Wen, B.; Zhu, Y.; Subramanian, R.; Ng, T.-T.; Shen, X.; and Winkler, S. 2016 · 2016
Earlier work this paper cites.
Provenance filtering for multimedia phylogeny
Pinto, A.; Moreira, D.; Bharati, A.; Brogan, J.; Bowyer, K.; Flynn, P.; Scheirer, W.; and Rocha, A. 2017 · 2017
Earlier work this paper cites.
Fighting fake news: Image splice detection via learned self-consistency
Huh, M.; Liu, A.; Owens, A.; and Efros, A. A. 2018 · 2018
Earlier work this paper cites.
Image provenance analysis at scale
Moreira, D.; Bharati, A.; Brogan, J.; Pinto, A.; Parowski, M.; Bowyer, K. W.; Flynn, P. J.; Rocha, A.; and Scheirer, W. J. 2018 · 2018
Earlier work this paper cites.
Representation learning with contrastive predictive coding
Oord, A. v. d.; Li, Y.; and Vinyals, O. 2018 · 2018
Earlier work this paper cites.
Learning rich features for image manipulation detection
Zhou, P.; Han, X.; Morariu, V. I.; and Davis, L. S. 2018 · 2018
Earlier work this paper cites.
Noiseprint: A CNN-Based Camera Model Fingerprint
Cozzolino, D.; and Verdoliva, L. 2019 · 2019
Earlier work this paper cites.
MFC datasets: Large-scale benchmark datasets for media forensic challenge evaluation
Guan, H.; Kozak, M.; Robertson, E.; Lee, Y.; Yates, A. N.; Delgado, A.; Zhou, D.; Kheyrkhah, T.; Smith, J.; and Fiscus, J. 2019 · 2019
Earlier work this paper cites.
Parameter-efficient transfer learning for NLP
Houlsby, N.; Giurgiu, A.; Jastrzebski, S.; Morrone, B.; De Laroussilhe, Q.; Gesmundo, A.; Attariyan, M.; and Gelly, S. 2019 · 2019
Earlier work this paper cites.
The point where reality meets fantasy: Mixed adversarial generators for image splice detection
Kniaz, V. V.; Knyaz, V.; and Remondino, F. 2019 · 2019
Earlier work this paper cites.
ManTra-Net: Manipulation tracing network for detection and localization of image forgeries with anomalous features
Wu, Y.; AbdAlmageed, W.; and Natarajan, P. 2019 · 2019
Earlier work this paper cites.
wav2vec 2.0: A framework for self-supervised learning of speech representations
Baevski, A.; Zhou, Y.; Mohamed, A.; and Auli, M. 2020 · 2020
Earlier work this paper cites.
An adaptive neural network for unsupervised mosaic consistency analysis in image forensics
Bammey, Q.; Gioi, R. G. v.; and Morel, J.-M. 2020 · 2020
Earlier work this paper cites.
Denoising diffusion probabilistic models
Ho, J.; Jain, A.; and Abbeel, P. 2020 · 2020
Earlier work this paper cites.
SPAN: Spatial pyramid attention network for image manipulation localization
Hu, X.; Zhang, Z.; Jiang, Z.; Chaudhuri, S.; Yang, Z.; and Nevatia, R. 2020 · 2020
Cited alongside, same era.
IMD2020: A Large-Scale Annotated Dataset Tailored for Detecting Manipulated Images
Novozamsky, A.; Mahdian, B.; and Saic, S. 2020 · 2020
Cited alongside, same era.
Media forensics and deepfakes: an overview
Verdoliva, L. 2020 · 2020
Cited alongside, same era.
Deep high-resolution representation learning for visual recognition
Wang, J.; Sun, K.; Cheng, T.; Jiang, B.; Deng, C.; Zhao, Y.; Liu, D.; Mu, Y.; Tan, M.; Wang, X.; et al. 2020 · 2020
Cited alongside, same era.
On the opportunities and risks of foundation models
Bommasani, R.; Hudson, D. A.; Adeli, E.; Altman, R.; Arora, S.; von Arx, S.; Bernstein, M. S.; Bohg, J.; Bosselut, A.; Brunskill, E.; et al. 2021 · 2021
Cited alongside, same era.
Sam-adapter: Adapting segment anything in underperformed scenes
Chen, T.; Zhu, L.; Deng, C.; Cao, R.; Wang, Y.; Zhang, S.; Li, Z.; Sun, L.; Zang, Y.; and Mao, P. 2023 · 2023
Later among the works it cites.
Guiding instruction-based image editing via multimodal large language models
Fu, T.-J.; Hu, W.; Du, X.; Wang, W. Y.; Yang, Y.; and Gan, Z. 2023 · 2023
Later among the works it cites.
TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization
Guillaro, F.; Cozzolino, D.; Sud, A.; Dufour, N.; and Verdoliva, L. 2023 · 2023
Later among the works it cites.
Kirillov, A.; Mintun, E.; Ravi, N.; Mao, H.; Rolland, C.; Gustafson, L.; Xiao, T.; Whitehead, S.; Berg, A. C.; Lo, W.-Y.; et al. 2023 · 2023
Later among the works it cites.
Edge-Aware Regional Message Passing Controller for Image Forgery Localization
Li, D.; Zhu, J.; Wang, M.; Liu, J.; Fu, X.; and Zha, Z.-J. 2023 · 2023
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Transforensics: image forgery localization with dense self-attention
Hao, J.; Zhang, Z.; Yang, S.; Xie, D.; and Pu, S. 2021 · 2021
Cited alongside, same era.
CAT-Net: Compression Artifact Tracing Network for Detection and Localization of Image Splicing
Kwon, M.-J.; Yu, I.-J.; Nam, S.-H.; and Lee, H.-K. 2021 · 2021
Cited alongside, same era.
Learning transferable visual models from natural language supervision
Radford, A.; Kim, J. W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; et al. 2021 · 2021
Cited alongside, same era.
Self-supervised domain adaptation for forgery localization of JPEG compressed images
Rao, Y.; and Ni, J. 2021 · 2021
Cited alongside, same era.
Biofors: A large biomedical image forensics dataset
Sabir, E.; Nandi, S.; Abd-Almageed, W.; and Natarajan, P. 2021 · 2021
Cited alongside, same era.
Vision transformer adapter for dense predictions
Chen, Z.; Duan, Y.; Wang, W.; He, J.; Lu, T.; Dai, J.; and Qiao, Y. 2022 · 2022
Cited alongside, same era.
Mvss-net: Multi-view multi-scale supervised networks for image manipulation detection
Dong, C.; Chen, X.; Hu, R.; Cao, J.; and Li, X. 2022 · 2022
Cited alongside, same era.
Later among the works it cites.
Polyp-sam: Transfer sam for polyp segmentation
Li, Y.; Hu, M.; and Yang, X. 2023 · 2023
Later among the works it cites.
Explicit visual prompting for low-level structure segmentations
Liu, W.; Shen, X.; Pun, C.-M.; and Cun, X. 2023 · 2023
Later among the works it cites.
CFL-Net: Image forgery localization using contrastive learning
Niloy, F. F.; Bhaumik, K. K.; and Woo, S. S. 2023 · 2023
Later among the works it cites.
Safl-net: Semantic-agnostic feature learning network with auxiliary plugins for image manipulation detection
Sun, Z.; Jiang, H.; Wang, D.; Li, X.; and Cao, J. 2023 · 2023
Later among the works it cites.
Can sam segment anything? when sam meets camouflaged object detection. arXiv 2023
Tang, L.; Xiao, H.; and Li, B. 2023 · 2023
Later among the works it cites.
Rethinking Image Forgery Detection via Contrastive Learning and Unsupervised Clustering
Wu, H.; Chen, Y.; and Zhou, J. 2023 · 2023
Later among the works it cites.
Inpaint anything: Segment anything meets image inpainting
Yu, T.; Feng, R.; Feng, R.; Liu, J.; Jin, X.; Zeng, W.; and Chen, Z. 2023 · 2023
Later among the works it cites.
Adding conditional control to text-to-image diffusion models
Zhang, L.; Rao, A.; and Agrawala, M. 2023 · 2023
Later among the works it cites.
Fusion Transformer with Object Mask Guidance for Image Forgery Analysis
Karageorgiou, D.; Kordopatis-Zilos, G.; and Papadopoulos, S. 2024 · 2024
Closest in time.
Detecting Multimedia Generated by Large AI Models: A Survey
Lin, L.; Gupta, N.; Zhang, Y.; Ren, H.; Liu, C.-H.; Ding, F.; Wang, X.; Li, X.; Verdoliva, L.; and Hu, S. 2024 · 2024
Closest in time.
A Novel Universal Image Forensics Localization Model Based on Image Noise and Segment Anything Model
Su, Y.; Tan, S.; and Huang, J. 2024 · 2024
Closest in time.
MGQFormer: Mask-Guided Query-Based Transformer for Image Manipulation Localization
Zeng, K.; Cheng, R.; Tan, W.; and Yan, B. 2024 · 2024
Closest in time.
Learning Discriminative Noise Guidance for Image Forgery Detection and Localization
Zhu, J.; Li, D.; Fu, X.; Yang, G.; Huang, J.; Liu, A.; and Zha, Z.-J. 2024 · 2024
Closest in time.