CLIP Embeddings for AI-Generated Image Detection: A Few-Shot Study with Lightweight Classifier

arXiv:2505.10664 · cs.CV, cs.AI · Submitted 2025-05-15 · Read on arXiv

cs.CV, cs.AI

Submitted: 2025-05-15

Updated: 2026-09-14

Comments: 8 pages, 5 figures, not submitted to any conference

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Embeddings — 20× in this paper · explained in 2 episodes
Accuracy — 10× in this paper · explained in 1 episode
Adaptation — 9× in this paper · explained in 1 episode
Benchmark — 5× in this paper · explained in 2 episodes
Transformer — 5× in this paper · explained in 2 episodes
Fine-Tuning — 4× in this paper · explained in 5 episodes
Latent Space — 2× in this paper · explained in 7 episodes
Vision-Language Models (VLMs) — 2× in this paper · explained in 6 episodes
Adam — 1× in this paper · explained in 2 episodes
Adaptability — 1× in this paper · explained in 1 episode
Consistency — 1× in this paper · explained in 3 episodes
Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
Domain Shift — 1× in this paper · explained in 4 episodes
F1 Score — 1× in this paper · explained in 3 episodes
Feature Extraction — 1× in this paper · explained in 2 episodes
Linear probe — 1× in this paper · explained in 2 episodes
Paper Review — 1× in this paper · explained in 2 episodes
Prompt Engineering — 1× in this paper · explained in 4 episodes
Robustness — 1× in this paper · explained in 5 episodes
Transfer Learning — 1× in this paper · explained in 10 episodes