Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 30,231 to 30,240 of 220,100 articles

The Courtroom Trial of Pixels: Robust Image Manipulation Localization via Adversarial Evidence and Reinforcement Learning Judgment

arXiv Apr 16, 2026
Although some existing image manipulation localization (IML) methods incorporate authenticity-related supervision, this information is typically utilized merely as an auxiliary training signal to enhance the model's sensitivity to manipulation artifa... read more 
Computer Vision and Pattern Recognition

G-MIXER: Geodesic Mixup-based Implicit Semantic Expansion and Explicit Semantic Re-ranking for Zero-Shot Composed Image Retrieval

arXiv Apr 16, 2026
Composed Image Retrieval (CIR) aims to retrieve target images by integrating a reference image with a corresponding modification text. CIR requires jointly considering the explicit semantics specified in the query and the implicit semantics embedded ... read more 
Computer Vision and Pattern Recognition

MS-SSE-Net: A Multi-Scale Spatial Squeeze-and-Excitation Network for Structural Damage Detection in Civil and Geotechnical Engineering

arXiv Apr 16, 2026
Structural damage detection is essential for maintaining the safety and reliability of civil infrastructure. However, accurately identifying different types of structural damage from images remains challenging due to variations in damage patterns and... read more 
Computer Vision and Pattern Recognition

Data Synthesis Improves 3D Myotube Instance Segmentation

arXiv Apr 16, 2026
Myotubes are multinucleated muscle fibers serving as key model systems for studying muscle physiology, disease mechanisms, and drug responses. Mechanistic studies and drug screening thereby rely on quantitative morphological readouts such as diameter... read more 
Computer Vision and Pattern Recognition

HAMSA: Scanning-Free Vision State Space Models via SpectralPulseNet

arXiv Apr 16, 2026
Vision State Space Models (SSMs) like Vim, VMamba, and SiMBA rely on complex scanning strategies to adapt sequential SSMs to process 2D images, introducing computational overhead and architectural complexity. We propose HAMSA, a scanning-free SSM ope... read more 
Computer Vision and Pattern Recognition cs.LG eess.IV

Find the Differences: Differential Morphing Attack Detection vs Face Recognition

arXiv Apr 16, 2026
Morphing is a challenge to face recognition (FR) for which several morphing attack detection solutions have been proposed. We argue that face recognition and differential morphing attack detection (D-MAD) in principle perform very similar tasks, whic... read more 
Computer Vision and Pattern Recognition

ASGNet: Adaptive Spectrum Guidance Network for Automatic Polyp Segmentation

arXiv Apr 16, 2026
Early identification and removal of polyps can reduce the risk of developing colorectal cancer. However, the diverse morphologies, complex backgrounds and often concealed nature of polyps make polyp segmentation in colonoscopy images highly challengi... read more 
Computer Vision and Pattern Recognition

Constraint-based Pre-training: From Structured Constraints to Scalable Model Initialization

arXiv Apr 16, 2026
The pre-training and fine-tuning paradigm has become the dominant approach for model adaptation. However, conventional pre-training typically yields models at a fixed scale, whereas practical deployment often requires models of varying sizes, exposin... read more 
Machine Learning

One-shot Compositional 3D Head Avatars with Deformable Hair

arXiv Apr 16, 2026
We propose a compositional method for constructing a complete 3D head avatar from a single image. Prior one-shot holistic approaches frequently fail to produce realistic hair dynamics during animation, largely due to inadequate decoupling of hair fro... read more 
Computer Vision and Pattern Recognition

Knowing When Not to Answer: Evaluating Abstention in Multimodal Reasoning Systems

arXiv Apr 16, 2026
Effective abstention (EA), recognizing evidence insufficiency and refraining from answering, is critical for reliable multimodal systems. Yet existing evaluation paradigms for vision-language models (VLMs) and multi-agent systems (MAS) assume answera... read more 
Computation and Language cs.CV
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