归档
2026 28 篇
- 06-30
- 06-03
- 04-09
AgentFoX:LLM Agent-Guided Fusion with eXplainability for AI-Generated Image Detection
04-09- 04-08
Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection
04-06Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection
04-06PromptAD:Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection
04-06DINOv2:Learning Robust Visual Features without Supervision
03-29AA-CLIP:Enhancing Zero-Shot Anomaly Detection via Anomaly-Aware CLIP
03-29Dinomaly:The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection
03-28- 03-22
Image splicing forgery detection:A review
03-18- 03-18
A comprehensive survey on image authentication for tamper detection with localization
03-13- 03-04
Unravelling Digital Forgeries:A Systematic Survey on Image Manipulation Detection and Localization
03-03InfoNCE Induces Gaussian Distribution
03-03ALL-IN-ONE:Divide-and-Conquer Strategy for Multi-Manipulation Image Classification and Localization
02-27- 02-27
Deep Robust Reversible Watermarking
02-27From Pixels to Semantics:A Novel MLLM-Driven Approach for Explainable Tampered Text Detection
02-26Towards Explainable Fake Image Detection with Multi-Modal Large Language Models
02-26image forgery detection and localization for LLMs
02-26SIDA:Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model
02-02Explicit Visual Prompting for Universal Foreground Segmentations
01-14- 01-09
Model Synthesis for Zero-Shot Model Attribution
01-06
2025 107 篇
Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection
12-28Noise-Assisted Prompt Learning for Image Forgery Detection and Localization
12-27ISTR:Mask-Embedding-Based Instance Segmentation Transformer
12-27Revisiting_the_Integration_of_Convolution_and_Attention_for_Vision_Backbone
12-27Towards Universal Fake Image Detectors That Generalize Across Generative Models
12-26Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection
12-25- 12-19
Pixel-Level Anomaly Detection via Uncertainty-aware Prototypical Transformer
12-18ALDEN:Dual-Level Disentanglement with Meta-learning for Generalizable Audio Deepfake Detection
12-17Unsupervised_Domain_Adaptation_for_Face_Anti-Spoofing
12-17- 12-15
Guard Me If You Know Me:Protecting Specific Face-Identity from Deepfakes
12-15Generalizable Synthetic Image Detection via Language-guided Contrastive Learning
12-12- 12-11
VLForgery Face Triad:Detection, Localization and Attribution via Multimodal Large Language Models
12-09Cross-Image Pixel Contrasting for Semantic Segmentation
11-25An Unmanned Aerial Vehicle Swarm System for Tunnel Inspection Problems
11-23Multimodal Multitask Collaborative Revision Network for Trusted Road Segmentation
11-23- 11-23
Text-Driven Traffic Anomaly Detection With Temporal High-Frequency Modeling in Driving Videos
11-23- 11-22
- 11-22
- 11-21
DETECTIVE SAM:ADAPTIVE AI-IMAGE FORGERY LOCALIZATION
11-20MOODv2:Masked Image Modeling for Out-of-Distribution Detection
11-12Segment Every Out-of-Distribution Object
11-12Rethinking Out-of-distribution (OOD) Detection:Masked Image Modeling is All You Need
11-11Towards Generalizable Detector for Generated Image
11-10ForgeLens:Data-Efficient Forgery Focus for Generalizable Forgery Image Detection
11-10RankMatch:Exploring the Better Consistency Regularization for Semi-supervised Semantic Segmentation
11-04Contrastive_learning_semantic_segmentation
11-04CeCR:Cross-entropycontrastive replay for online class-incremental continual learning
10-17Learning double-compression video fingerprints left from social-media platforms
10-14Efficient_Video_Integrity_Analysis_Through_Container_Characterization
09-29Video_Source_Characterization_Using_Encoding_and_Encapsulation_Characteristics
09-28- 09-19
Fusion_Transformer_with_Object_Mask_Guidance_for_Image_Forgery_Analysis
09-18Forensics-Bench:A Comprehensive Forgery Detection Benchmark Suite for Large Vision Language Models
09-15Poster:Query-efficient Black-box Attack for Image Forgery Localization via Reinforcement Learning
09-12- 09-11
- 09-09
PRCL:Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation
09-04Region-aware_Contrastive_Learning_for_Semantic_Segmentation
09-04SegFormer:Simple and Efficient Design for Semantic Segmentation with Transformers
09-04- 08-27
- 08-22
- 08-21
MUN:Image Forgery Localization Based on M3 Encoder and UN Decoder
08-21Discriminative fuzzy 𝐾-meansclustering withlocalstructure preservation for high-dimensional data
08-19Omni-IML:Towards Unified Image Manipulation Localization
08-15LEGION:Learning to Ground and Explain for Synthetic Image Detection
08-15Imbalance-Aware Discriminative Clustering for Unsupervised Semantic Segmentation
08-15- 08-12
Faster R-CNN:Towards Real-Time Object Detection with Region Proposal Networks
08-10- 08-06
- 08-06
Exploring Multi-view Pixel Contrast for General and Robust Image Forgery Localization
08-01GIM:A Million-scale Benchmark for Generative Image Manipulation Detection and Localization
08-01Loupe:A Generalizable and Adaptive Framework for Image Forgery Detection
07-26Neural Clustering based Visual Representation Learning
07-22Mind marginal non-crack regions:Clustering-inspired representation learning for crack segmentation
07-21CoCoOp:Conditional Prompt Learning for Vision-Language Models
07-21CoOp:Learning to Prompt for Vision-Language Models
07-21CLIP:Learning Transferable Visual Models From Natural Language Supervision
07-21Robust Watermarking Using Generative Priors Against Image Editing:From Benchmarking to Advances
07-18ForensicHub:A Unified Benchmark & Codebase for All-Domain Fake Image Detection and Localization
07-17TruFor:Leveraging all-round clues for trustworthy image forgery detection and localization
07-15Pixel-Inconsistency Modeling for Image Manipulation Localization
07-15- 07-15
- 07-15
- 07-08
- 07-07
Rethinking Image Forgery Detection via Soft Contrastive Learning and Unsupervised Clustering
07-03Cluster Triplet Loss for Unsupervised Domain Adaptation on Histology Images
07-02Stacking Brick by Brick:Aligned Feature Isolation for Incremental Face Forgery Detection
07-02ClusterFomer:Clustering As A Universal Visual Learner
07-01OmniGuard:Hybrid Manipulation Localization via Augmented Versatile Deep Image Watermarking
07-01Operation History Estimation and Its Application to Multi-Degraded Image Restoration
06-08Image Operation Chain Detection with Machine Translation Framework
06-06- 05-19
- 05-12
- 05-06
Rethinking Image Editing Detection in the Era of Generative AI Revolution
03-27- 03-23
- 03-10
Finding Incompatible Blocks for Reliable JPEG Steganalysis
03-10Image-based_Freeform_Handwriting_Authentication_with_Energy-oriented_Self-Supervised_Learning
03-10Image Copy-Move Forgery Detection via Deep PatchMatch and Pairwise Ranking Learning
03-10DiRLoc:Disentanglement Representation Learning for Robust Image Forgery Localization
03-10IMDL-BenCo:A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization
03-06- 02-28
- 02-24
- 02-19
Contextrast:Contextual Contrastive Learning for Semantic Segmentation
02-17Deep Clustering for Unsupervised Learning of Visual Features
02-17DivClust:Controlling Diversity in Deep Clustering
02-16- 02-16
A Lightweight Clustering Framework for Unsupervised Semantic Segmentation
02-15- 02-13
DiffForensics:Leveraging Diffusion Prior to Image Forgery Detection and Localization
01-15- 01-15
EditGuard:Versatile Image Watermarking for Tamper Localization and Copyright Protection
01-13UGEE-Net:Uncertainty-guided and edge-enhanced network for image splicing localization
01-12End-to-end Differentiable Clustering with Associative Memories
01-10How to Use K-means for Big Data Clustering?
01-08PiCIE:Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering
01-08A Survey on Deep Clustering:From the Prior Perspective
01-07
2024 53 篇
- 12-29
Forgery-aware Adaptive Learning with Vision Transformer for Generalized Face Forgery Detection
12-26Deep Adaptive Fuzzy Clustering for Evolutionary Unsupervised Representation Learning
12-23Fuzzy Machine Learning:A Comprehensive Framework and Systematic Review
12-23A survey on deep learning-based image forgery detection
12-18- 12-11
Deep Fuzzy K-Means With Adaptive Loss and Entropy Regularization
12-04Robust deep fuzzy K-means clustering for image data
12-03Robust deep k-means:An effective and simple method for data clustering
12-02- 12-02
- 12-02
- 11-24
AdaIFL:Adaptive Image Forgery Localization via a Dynamic and Importance-aware Transformer Network
11-19Image Manipulation Detection With Implicit Neural Representation and Limited Supervision
11-19- 10-28
- 10-22
- 10-21
Circle Loss A Unified Perspective of Pair Similarity Optimization
10-14Unsupervised_Semantic_Segmentation
10-10EAGLE:Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation
10-08Unsupervised Learning of Image Segmentation Based on Differentiable Feature Clustering
10-07Efficient Deep Embedded Subspace Clustering
10-04Deep Clustering:A Comprehensive Survey
09-29Attentive and Contrastive Image Manipulation Localization With Boundary Guidance
09-10Towards Generalizable Deepfake Detection via Clustered and Adversarial Forgery Learning
09-09Robust Image Forgery Detection over Online Social Network Shared Images
09-04- 09-02
Towards Modern Image Manipulation Localization A Large-Scale Dataset and Novel Methods
08-26Multi-view Feature Extraction via Tunable Prompts is Enough for Image Manipulation Localization
08-24DH-GAN:Image manipulation localization via a dual homology-aware generative adversarial network
08-24- 07-22
- 07-04
- 06-21
Deep Learning for Image Super-Resolution
06-19- 06-16
- 05-28
- 05-19
CMX:Cross-Modal Fusion for RGB-X Semantic Segmentation With Transformers
05-16Uncertainty-guided Learning for Improving Image Manipulation Detection
05-16- 05-16
- 05-14
- 05-13
Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning
05-10Towards Effective Image Manipulation Detection with Proposal Contrastive Learning
05-05CatmullRom Splines-Based Regression for Image Forgery Localization
05-03CFL-Net:Image Forgery Localization Using Contrastive Learning
04-10- 04-09
Learning Discriminative Noise Guidance for Image Forgery Detection and Localization
04-01MGQFormer:Mask-Guided Query-Based Transformer for Image Manipulation Localization
03-31Learning Transferable Visual Models From Natural Language Supervision
03-29- 03-29
A New Benchmark and Model for Challenging Image Manipulation Detection
03-28Exploring Multi-Modal Fusion for Image Manipulation Detection and Localization
03-28