Few-Shot Learner Generalizes Across AI-Generated Image Detection
Fuente:
arXiv
Saved in:
| Main Authors: | Wu, Shiyu, Liu, Jing, Li, Jing, Wang, Yequan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
OmniDFA: A Unified Framework for Open Set Synthesis Image Detection and Few-Shot Attribution
by: Wu, Shiyu, et al.
Published: (2025)
by: Wu, Shiyu, et al.
Published: (2025)
LocateEdit-Bench: A Benchmark for Instruction-Based Editing Localization
by: Wu, Shiyu, et al.
Published: (2026)
by: Wu, Shiyu, et al.
Published: (2026)
VisualPrompter: Semantic-Aware Prompt Optimization with Visual Feedback for Text-to-Image Synthesis
by: Wu, Shiyu, et al.
Published: (2025)
by: Wu, Shiyu, et al.
Published: (2025)
Generalized Few-Shot Out-of-Distribution Detection
by: Li, Pinxuan, et al.
Published: (2025)
by: Li, Pinxuan, et al.
Published: (2025)
Color as the Impetus: Transforming Few-Shot Learner
by: Qi, Chaofei, et al.
Published: (2025)
by: Qi, Chaofei, et al.
Published: (2025)
Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation
by: Jin, Ying, et al.
Published: (2024)
by: Jin, Ying, et al.
Published: (2024)
Zero-Shot Detection of AI-Generated Images
by: Cozzolino, Davide, et al.
Published: (2024)
by: Cozzolino, Davide, et al.
Published: (2024)
Fully Fine-tuned CLIP Models are Efficient Few-Shot Learners
by: Liu, Mushui, et al.
Published: (2024)
by: Liu, Mushui, et al.
Published: (2024)
AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model
by: Hu, Teng, et al.
Published: (2023)
by: Hu, Teng, et al.
Published: (2023)
Towards Generalized Few-Shot Open-Set Object Detection
by: Su, Binyi, et al.
Published: (2022)
by: Su, Binyi, et al.
Published: (2022)
Generalization-Enhanced Few-Shot Object Detection in Remote Sensing
by: Lin, Hui, et al.
Published: (2025)
by: Lin, Hui, et al.
Published: (2025)
Few-shot Defect Image Generation based on Consistency Modeling
by: Shi, Qingfeng, et al.
Published: (2024)
by: Shi, Qingfeng, et al.
Published: (2024)
Few-Shot Image Generation by Conditional Relaxing Diffusion Inversion
by: Cao, Yu, et al.
Published: (2024)
by: Cao, Yu, et al.
Published: (2024)
CLIP3D-AD: Extending CLIP for 3D Few-Shot Anomaly Detection with Multi-View Images Generation
by: Zuo, Zuo, et al.
Published: (2024)
by: Zuo, Zuo, et al.
Published: (2024)
Generalized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object Detection
by: Chen, Ruoyu, et al.
Published: (2025)
by: Chen, Ruoyu, et al.
Published: (2025)
Domain-RAG: Retrieval-Guided Compositional Image Generation for Cross-Domain Few-Shot Object Detection
by: Li, Yu, et al.
Published: (2025)
by: Li, Yu, et al.
Published: (2025)
AirShot: Efficient Few-Shot Detection for Autonomous Exploration
by: Wang, Zihan, et al.
Published: (2024)
by: Wang, Zihan, et al.
Published: (2024)
WeditGAN: Few-Shot Image Generation via Latent Space Relocation
by: Duan, Yuxuan, et al.
Published: (2023)
by: Duan, Yuxuan, et al.
Published: (2023)
Few-Part-Shot Font Generation
by: Akiba, Masaki, et al.
Published: (2025)
by: Akiba, Masaki, et al.
Published: (2025)
Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation
by: Wang, Jin, et al.
Published: (2024)
by: Wang, Jin, et al.
Published: (2024)
Decomposed Prototype Learning for Few-Shot Scene Graph Generation
by: Li, Xingchen, et al.
Published: (2023)
by: Li, Xingchen, et al.
Published: (2023)
Video Generation with Stable Transparency via Shiftable RGB-A Distribution Learner
by: Dong, Haotian, et al.
Published: (2025)
by: Dong, Haotian, et al.
Published: (2025)
Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners
by: Park, Keon-Hee, et al.
Published: (2024)
by: Park, Keon-Hee, et al.
Published: (2024)
Efficient Zero-Shot AI-Generated Image Detection
by: Sonoda, Ryosuke, et al.
Published: (2026)
by: Sonoda, Ryosuke, et al.
Published: (2026)
Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation
by: Gui, Guan, et al.
Published: (2025)
by: Gui, Guan, et al.
Published: (2025)
FAMSeC: A Few-shot-sample-based General AI-generated Image Detection Method
by: Xu, Juncong, et al.
Published: (2024)
by: Xu, Juncong, et al.
Published: (2024)
Exploiting the Final Component of Generator Architectures for AI-Generated Image Detection
by: Liu, Yanzhu, et al.
Published: (2026)
by: Liu, Yanzhu, et al.
Published: (2026)
A Feature Generator for Few-Shot Learning
by: Kanagalingam, Heethanjan, et al.
Published: (2024)
by: Kanagalingam, Heethanjan, et al.
Published: (2024)
Embedding Generalized Semantic Knowledge into Few-Shot Remote Sensing Segmentation
by: Jia, Yuyu, et al.
Published: (2024)
by: Jia, Yuyu, et al.
Published: (2024)
Learning Visual Proxy for Compositional Zero-Shot Learning
by: Zhang, Shiyu, et al.
Published: (2025)
by: Zhang, Shiyu, et al.
Published: (2025)
Beyond Visual Cues: Leveraging General Semantics as Support for Few-Shot Segmentation
by: Wang, Jin, et al.
Published: (2025)
by: Wang, Jin, et al.
Published: (2025)
Beyond Artifacts: Real-Centric Envelope Modeling for Reliable AI-Generated Image Detection
by: Liu, Ruiqi, et al.
Published: (2025)
by: Liu, Ruiqi, et al.
Published: (2025)
InfRS: Incremental Few-Shot Object Detection in Remote Sensing Images
by: Li, Wuzhou, et al.
Published: (2024)
by: Li, Wuzhou, et al.
Published: (2024)
Faster Projected GAN: Towards Faster Few-Shot Image Generation
by: Wang, Chuang, et al.
Published: (2024)
by: Wang, Chuang, et al.
Published: (2024)
Few-Shot Generation of Brain Tumors for Secure and Fair Data Sharing
by: Shi, Yongyi, et al.
Published: (2025)
by: Shi, Yongyi, et al.
Published: (2025)
Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection
by: Yan, Zhiyuan, et al.
Published: (2024)
by: Yan, Zhiyuan, et al.
Published: (2024)
Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement
by: Wang, Jing, et al.
Published: (2023)
by: Wang, Jing, et al.
Published: (2023)
Generative Compositor for Few-Shot Visual Information Extraction
by: Yang, Zhibo, et al.
Published: (2025)
by: Yang, Zhibo, et al.
Published: (2025)
CLIP Embeddings for AI-Generated Image Detection: A Few-Shot Study with Lightweight Classifier
by: Ou, Ziyang
Published: (2025)
by: Ou, Ziyang
Published: (2025)
CLIP-AGIQA: Boosting the Performance of AI-Generated Image Quality Assessment with CLIP
by: Tang, Zhenchen, et al.
Published: (2024)
by: Tang, Zhenchen, et al.
Published: (2024)
Similar Items
-
OmniDFA: A Unified Framework for Open Set Synthesis Image Detection and Few-Shot Attribution
by: Wu, Shiyu, et al.
Published: (2025) -
LocateEdit-Bench: A Benchmark for Instruction-Based Editing Localization
by: Wu, Shiyu, et al.
Published: (2026) -
VisualPrompter: Semantic-Aware Prompt Optimization with Visual Feedback for Text-to-Image Synthesis
by: Wu, Shiyu, et al.
Published: (2025) -
Generalized Few-Shot Out-of-Distribution Detection
by: Li, Pinxuan, et al.
Published: (2025) -
Color as the Impetus: Transforming Few-Shot Learner
by: Qi, Chaofei, et al.
Published: (2025)