Artificial Intelligence Medical Compendium

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

Showing 29,771 to 29,780 of 219,931 articles

Robust Multispectral Semantic Segmentation under Missing or Full Modalities via Structured Latent Projection

arXiv Apr 17, 2026
Multimodal remote sensing data provide complementary information for semantic segmentation, but in real-world deployments, some modalities may be unavailable due to sensor failures, acquisition issues, or challenging atmospheric conditions. Existing ... read more 
Computer Vision and Pattern Recognition cs.AI

AHS: Adaptive Head Synthesis via Synthetic Data Augmentations

arXiv Apr 17, 2026
Recent digital media advancements have created increasing demands for sophisticated portrait manipulation techniques, particularly head swapping, where one's head is seamlessly integrated with another's body. However, current approaches predominantly... read more 
Computer Vision and Pattern Recognition

Splats in Splats++: Robust and Generalizable 3D Gaussian Splatting Steganography

arXiv Apr 17, 2026
3D Gaussian Splatting (3DGS) has recently redefined the paradigm of 3D reconstruction, striking an unprecedented balance between visual fidelity and computational efficiency. As its adoption proliferates, safeguarding the copyright of explicit 3DGS a... read more 
Computer Vision and Pattern Recognition

UniEditBench: A Unified and Cost-Effective Benchmark for Image and Video Editing via Distilled MLLMs

arXiv Apr 17, 2026
The evaluation of visual editing models remains fragmented across methods and modalities. Existing benchmarks are often tailored to specific paradigms, making fair cross-paradigm comparisons difficult, while video editing lacks reliable evaluation be... read more 
Computer Vision and Pattern Recognition cs.AI

PolarMAE: Efficient Fetal Ultrasound Pre-training via Semantic Screening and Polar-Guided Masking

arXiv Apr 17, 2026
Intelligent fetal ultrasound (US) interpretation is crucial for prenatal diagnosis, but high annotation costs and operator-induced variance make unsupervised pre-training a highly promising paradigm. However, existing pre-training methods largely ign... read more 
Computer Vision and Pattern Recognition

AeroDeshadow: Physics-Guided Shadow Synthesis and Penumbra-Aware Deshadowing for Aerospace Imagery

arXiv Apr 17, 2026
Shadows are prevalent in high-resolution aerospace imagery (ASI). They often cause spectral distortion and information loss, which degrade downstream interpretation tasks. While deep learning methods have advanced natural-image shadow removal, their ... read more 
Computer Vision and Pattern Recognition

Efficient Video Diffusion Models: Advancements and Challenges

arXiv Apr 17, 2026
Video diffusion models have rapidly become the dominant paradigm for high-fidelity generative video synthesis, but their practical deployment remains constrained by severe inference costs. Compared with image generation, video synthesis compounds com... read more 
Computer Vision and Pattern Recognition

Making Image Editing Easier via Adaptive Task Reformulation with Agentic Executions

arXiv Apr 17, 2026
Instruction guided image editing has advanced substantially with recent generative models, yet it still fails to produce reliable results across many seemingly simple cases. We observe that a large portion of these failures stem not from insufficient... read more 
Computer Vision and Pattern Recognition

SENSE: Stereo OpEN Vocabulary SEmantic Segmentation

arXiv Apr 17, 2026
Open-vocabulary semantic segmentation enables models to segment objects or image regions beyond fixed class sets, offering flexibility in dynamic environments. However, existing methods often rely on single-view images and struggle with spatial preci... read more 
Computer Vision and Pattern Recognition cs.RO

From Competition to Coopetition: Coopetitive Training-Free Image Editing Based on Text Guidance

arXiv Apr 17, 2026
Text-guided image editing, a pivotal task in modern multimedia content creation, has seen remarkable progress with training-free methods that eliminate the need for additional optimization. Despite recent progress, existing methods are typically cons... read more 
Computer Vision and Pattern Recognition
Popular Topics
Recent Journals