文章总览 - 158
MUN:Image Forgery Localization Based on M3 Encoder and UN Decoder
MUN:Image Forgery Localization Based on M3 Encoder and UN Decoder

发表于AAAI 2025,其使用了Noiseprint++作为低级特征提取器,使用双流结构,其使用池化操作之后的结构作为查询向量,进行融合是最大的创新点。

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Discriminative fuzzy 𝐾-meansclustering withlocalstructure preservation for high-dimensional data
Discriminative fuzzy 𝐾-meansclustering withlocalstructure preservation for high-dimensional data

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Omni-IML:Towards Unified Image Manipulation Localization
Omni-IML:Towards Unified Image Manipulation Localization

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LEGION:Learning to Ground and Explain for Synthetic Image Detection
LEGION:Learning to Ground and Explain for Synthetic Image Detection

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Imbalance-Aware Discriminative Clustering for Unsupervised Semantic Segmentation
Imbalance-Aware Discriminative Clustering for Unsupervised Semantic Segmentation

发表于IJCV 2024,其设计了一张基于类别不平衡判别式聚类的端到端的无监督语义分割的方法,其主要架构是backbone+分割头组成,其中分割头由两个ReLU激活的卷积层和一个Softmax激活的卷积层组成,最大的创新在于基于任务设计的损失函数。

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DFPD
DFPD

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Faster R-CNN:Towards Real-Time Object Detection with Region Proposal Networks
Faster R-CNN:Towards Real-Time Object Detection with Region Proposal Networks

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examine
examine

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Mesoscopic Insights:Orchestrating Multi-Scale & Hybrid Architecture for Image Manipulation Localization
Mesoscopic Insights:Orchestrating Multi-Scale & Hybrid Architecture for Image Manipulation Localization

发表于AAAI2025,该论文同时构建IML所需的微观与宏观信息介观表征,并提出Mesorch架构,一种融合卷积神经网络和Transformer模型优势的混合模型,通过动态调整尺度权重,能高效捕捉介观层面的伪影特征。

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LSNet:See Large, Focus Small
LSNet:See Large, Focus Small

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