Cover Image

Rethinking Image Forgery Detection via Soft Contrastive Learning and Unsupervised Clustering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Haiwei, Chen, Yiming, Zhou, Jiantao, Li, Yuanman
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Image Copy-Move Forgery Detection via Deep PatchMatch and Pairwise Ranking Learning
by: Li, Yuanman, et al.
Published: (2024)

Generalizable Synthetic Image Detection via Language-guided Contrastive Learning
by: Wu, Haiwei, et al.
Published: (2023)

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement
by: Wong, Kahim, et al.
Published: (2025)

Text-Driven Traffic Anomaly Detection with Temporal High-Frequency Modeling in Driving Videos
by: Liang, Rongqin, et al.
Published: (2024)

Weakly-Supervised Image Forgery Localization via Vision-Language Collaborative Reasoning Framework
by: Sheng, Ziqi, et al.
Published: (2025)

Rethinking Cross-Generator Image Forgery Detection through DINOv3
by: Huang, Zhenglin, et al.
Published: (2025)

Rethinking Positive Pairs in Contrastive Learning
by: Wu, Jiantao, et al.
Published: (2024)

Online Unsupervised Video Object Segmentation via Contrastive Motion Clustering
by: Xi, Lin, et al.
Published: (2023)

DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain
by: Li, Fengpeng, et al.
Published: (2024)

Contrastive Desensitization Learning for Cross Domain Face Forgery Detection
by: Qiu, Lingyu, et al.
Published: (2025)

ForgeryVCR: Visual-Centric Reasoning via Efficient Forensic Tools in MLLMs for Image Forgery Detection and Localization
by: Wang, Youqi, et al.
Published: (2026)

Learning to Discover Forgery Cues for Face Forgery Detection
by: Tian, Jiahe, et al.
Published: (2024)

Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization
by: He, Yuhao, et al.
Published: (2024)

ForgeLens: Data-Efficient Forgery Focus for Generalizable Forgery Image Detection
by: Chen, Yingjian, et al.
Published: (2024)

COMICS: End-to-end Bi-grained Contrastive Learning for Multi-face Forgery Detection
by: Zhang, Cong, et al.
Published: (2023)

Unsupervised Domain Adaptive Lane Detection via Contextual Contrast and Aggregation
by: Zhou, Kunyang, et al.
Published: (2024)

SUMI-IFL: An Information-Theoretic Framework for Image Forgery Localization with Sufficiency and Minimality Constraints
by: Sheng, Ziqi, et al.
Published: (2024)

Generalizable Face Forgery Detection via Separable Prompt Learning
by: Yang, Enrui, et al.
Published: (2026)

Anti-Diffusion: Preventing Abuse of Modifications of Diffusion-Based Models
by: Li, Zheng, et al.
Published: (2025)

Rethinking Unsupervised Outlier Detection via Multiple Thresholding
by: Liu, Zhonghang, et al.
Published: (2024)

CLIC: Contrastive Learning Framework for Unsupervised Image Complexity Representation
by: Liu, Shipeng, et al.
Published: (2024)

Transfer Learning of Real Image Features with Soft Contrastive Loss for Fake Image Detection
by: Liang, Ziyou, et al.
Published: (2024)

On the Holistic Approach for Detecting Human Image Forgery
by: Guo, Xiao, et al.
Published: (2026)

Rethinking Cross-Domain Evaluation for Face Forgery Detection with Semantic Fine-grained Alignment and Mixture-of-Experts
by: Luo, Yuhan, et al.
Published: (2026)

Cluster Contrast for Unsupervised Visual Representation Learning
by: Giakoumoglou, Nikolaos, et al.
Published: (2025)

ForgeryGPT: A Multimodal LLM for Interpretable Image Forgery Detection and Localization
by: Zhang, Fanrui, et al.
Published: (2024)

Revisiting Face Forgery Detection: From Facial Representation to Forgery Detection
by: Guo, Zonghui, et al.
Published: (2024)

ReAlign: Generalizable Image Forgery Detection via Reasoning-Aligned Representation
by: Huang, Qing, et al.
Published: (2026)

Order within Chaos: Capturing Intrinsic Energy Anomalies for AI-Manipulated Image Forgery Localization
by: Wang, Yiming, et al.
Published: (2026)

Digital Image Forgery Detection Using Transfer Learning
by: Buyuk, Fatma Betul, et al.
Published: (2026)

Learning Natural Consistency Representation for Face Forgery Video Detection
by: Zhang, Daichi, et al.
Published: (2024)

MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot Learning
by: Zhang, Zhenyu, et al.
Published: (2024)

So-Fake: Benchmarking and Explaining Social Media Image Forgery Detection
by: Huang, Zhenglin, et al.
Published: (2025)

PromptForge-350k: A Large-Scale Dataset and Contrastive Framework for Prompt-Based AI Image Forgery Localization
by: Wang, Jianpeng, et al.
Published: (2026)

Don't Look into the Dark: Latent Codes for Pluralistic Image Inpainting
by: Chen, Haiwei, et al.
Published: (2024)

What Are We Really Measuring? Rethinking Dataset Bias in Web-Scale Natural Image Collections via Unsupervised Semantic Clustering
by: Saleknia, Amir Hossein, et al.
Published: (2026)

Detecting AI-Generated Forgeries via Iterative Manifold Deviation Amplification
by: Zhang, Jiangling, et al.
Published: (2026)

UniForensics: Face Forgery Detection via General Facial Representation
by: Fang, Ziyuan, et al.
Published: (2024)

Deep Learning Technology for Face Forgery Detection: A Survey
by: Ma, Lixia, et al.
Published: (2024)

DF-Net: The Digital Forensics Network for Image Forgery Detection
by: Fischinger, David, et al.
Published: (2025)