Artificial Intelligence Medical Compendium

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

Showing 141 to 150 of 212,780 articles

Think Sparse, Predict Dense: Continuous Thought Machines for Image Super-Resolution

arXiv Jul 21, 2026
Continuous Thought Machines introduce an internal temporal dimension in which neuron-level histories and synchronization-derived representations evolve over a sequence of thought ticks. Extending this mechanism to dense visual prediction is non-trivi... read more 
Computer Vision and Pattern Recognition eess.IV

KALE: Kernel Alignment with Loss Equilibration for Stable CLIP-DINOv2 Alignment at Web Scale

arXiv Jul 21, 2026
Kernel-based alignment of CLIP toward a vision centric teacher such as DINOv2 (KUEA) improves CLIP's visual representations while preserving text-encoder compatibility, using a fixed trade-off weight tuned on curated ImageNet-1K. We ask whether this ... read more 
Machine Learning

SynGallery: A Synthetic Gallery of Real Paintings for Instance-Level Artwork Recognition

arXiv Jul 21, 2026
Instance-level artwork recognition requires matching a handheld visitor photograph to a specific work in a large museum collection. This is challenging because painting datasets typically provide clean catalog images for training, while test queries ... read more 
Computer Vision and Pattern Recognition

TAP-RAG: Task-Aware Policy Control for Long-Document Multimodal Question Answering

arXiv Jul 21, 2026
Long-document multimodal question answering requires more than retrieving relevant chunks from a large document. Different queries require different evidence behavior. Existing multimodal RAG systems improve evidence access through text chunks, page ... read more 
Computer Vision and Pattern Recognition

Learning Explicit Physical Parameter Control and Benchmarking for Video Generation

arXiv Jul 21, 2026
Recent advances in image-to-video generation have improved visual realism, making physically grounded and controllable dynamics an important step toward future world simulation. Current models often generate plausible motion, but it is not reliably... read more 
Computer Vision and Pattern Recognition

NGPS: GPS-Denied Aerial Geo-Localization and 2.5D Reconstruction via Deep Satellite Image Matching and Multi-Rate Sensor Fusion

arXiv Jul 21, 2026
We present NGPS (Next-Generation Positioning System), a visual geo-localization framework for high-altitude UAVs that provides GPS-free absolute positioning by matching down-facing images to georeferenced satellite imagery with deep features. The sys... read more 
Robotics cs.CV

Dual Adversarial Fine-tuning for Enhancing Robustness of Large Vision Language Model

arXiv Jul 21, 2026
While Large Vision-Language Models (LVLMs), represented by LLaVA and GPT-4V, have demonstrated remarkable capabilities, their visual inputs remain vulnerable to adversarial attacks, posing significant security risks. Existing defense methods predomin... read more 
Computer Vision and Pattern Recognition cs.AI

DobicVLM: Aligning Chest X-Ray Report Generation with Clinically-Grounded Programmatic Rewards via Group Relative Policy Optimization

arXiv Jul 21, 2026
Medical imaging is a cornerstone of diagnostics, yet automated chest X-ray report generation struggles with structural adherence, anatomical completeness, and semantic faithfulness. We introduce DobicVLM, a vision-language model combining supervised ... read more 
Computer Vision and Pattern Recognition

SWITi: Quantifying and Reducing Tiling Artifacts with Sliding Window Inner Tiling

arXiv Jul 21, 2026
SWITi is a test-time method for reducing artifacts in tiled predictions, particularly for neural networks that learn posterior distributions from which solutions are sampled at inference time. Tiled predictions are unavoidable for large image data, a... read more 
Computer Vision and Pattern Recognition cs.AI

Learning Semantic-Robust Change Detection via Semantic-Invariant Self-Distillation

arXiv Jul 21, 2026
Change detection aims to identify semantic changes between remote sensing images. However, features from models are easily disturbed by non-semantic variations, such as illumination, shadows, and atmospheric changes, leading to false alarms and limit... read more 
Computer Vision and Pattern Recognition
Popular Topics
Recent Journals