EvoKnow: Continual Knowledge Evolution for AI-Generated Image Detection

arXiv:2610.11381 · cs.CV, cs.AI · Submitted 2026-10-08 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-10-08

Updated: 2026-10-08

Terminology

• Accuracy — 48× in this paper · explained in 1 episode
• Adaptation — 35× in this paper · explained in 1 episode
• Benchmark — 16× in this paper · explained in 2 episodes
• Continual Learning — 12× in this paper · explained in 2 episodes
• Transformer — 6× in this paper · explained in 2 episodes
• Analytical Incremental Router — 5× in this paper
• Conference on Computer Vision and Pattern Recognition — 5× in this paper
• Consistency — 5× in this paper · explained in 3 episodes
• Generative Model — 5× in this paper · explained in 2 episodes
• Generalization — 4× in this paper · explained in 13 episodes
• Generative Models — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Catastrophic Forgetting — 3× in this paper · explained in 5 episodes
• Regularization — 3× in this paper · explained in 3 episodes
• Diffusion Model — 2× in this paper · explained in 8 episodes
• Diffusion Models — 2× in this paper · explained in 6 episodes
• Global Pattern-aware Block — 2× in this paper
• Local Frequency-aware Block — 2× in this paper
• Alignment — 1× in this paper · explained in 1 episode
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Vision-language models — 1× in this paper · explained in 2 episodes
• Zero-Shot Transfer — 1× in this paper · explained in 4 episodes

Sources

• Fully AI-Generated Image Detection: Definition, Recent Advances and Challenges
• Unlocking the Capabilities of Large Vision-Language Models for Generalizable and Explainable Deepfake Detection
• Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection
• ForgeryGPT: A Multimodal LLM for Interpretable Image Forgery Detection and Localization
• All Patches Matter, More Patches Better: Enhance AI-Generated Image Detection via Panoptic Patch Learning
• Few-Shot Synthetic Image Attribution: Identifying Unseen Generators with Limited Samples
• Analytic Subspace Routing: How Recursive Least Squares Works in Continual Learning of Large Language Model
• A Single Simple Patch is All You Need for AI-generated Image Detection
• On Tiny Episodic Memories in Continual Learning
• Efficient Lifelong Learning with A-GEM

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