Artificial Intelligence Medical Compendium

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

Showing 42,241 to 42,250 of 223,853 articles

SaPaVe: Towards Active Perception and Manipulation in Vision-Language-Action Models for Robotics

arXiv Mar 12, 2026
Active perception and manipulation are crucial for robots to interact with complex scenes. Existing methods struggle to unify semantic-driven active perception with robust, viewpoint-invariant execution. We propose SaPaVe, an end-to-end framework tha... read more 
Robotics cs.CV

ForensicZip: More Tokens are Better but Not Necessary in Forensic Vision-Language Models

arXiv Mar 12, 2026
Multimodal Large Language Models (MLLMs) enable interpretable multimedia forensics by generating textual rationales for forgery detection. However, processing dense visual sequences incurs high computational costs, particularly for high-resolution im... read more 
Computer Vision and Pattern Recognition

RDNet: Region Proportion-Aware Dynamic Adaptive Salient Object Detection Network in Optical Remote Sensing Images

arXiv Mar 12, 2026
Salient object detection (SOD) in remote sensing images faces significant challenges due to large variations in object sizes, the computational cost of self-attention mechanisms, and the limitations of CNN-based extractors in capturing global context... read more 
Computer Vision and Pattern Recognition cs.AI

A Two-Stage Dual-Modality Model for Facial Emotional Expression Recognition

arXiv Mar 12, 2026
This paper addresses the expression (EXPR) recognition challenge in the 10th Affective Behavior Analysis in-the-Wild (ABAW) workshop and competition, which requires frame-level classification of eight facial emotional expressions from unconstrained v... read more 
Computer Vision and Pattern Recognition

Interpreting Contrastive Embeddings in Specific Domains with Fuzzy Rules

arXiv Mar 12, 2026
Free-style text is still one of the common ways in which data is registered in real environments, like legal procedures and medical records. Because of that, there have been significant efforts in the area of natural language processing to convert th... read more 
Symbolic Computation cs.LG

One Model, Many Budgets: Elastic Latent Interfaces for Diffusion Transformers

arXiv Mar 12, 2026
Diffusion transformers (DiTs) achieve high generative quality but lock FLOPs to image resolution, limiting principled latency-quality trade-offs, and allocate computation uniformly across input spatial tokens, wasting resource allocation to unimporta... read more 
Computer Vision and Pattern Recognition

Trust Your Critic: Robust Reward Modeling and Reinforcement Learning for Faithful Image Editing and Generation

arXiv Mar 12, 2026
Reinforcement learning (RL) has emerged as a promising paradigm for enhancing image editing and text-to-image (T2I) generation. However, current reward models, which act as critics during RL, often suffer from hallucinations and assign noisy scores, ... read more 
Computer Vision and Pattern Recognition

The Latent Color Subspace: Emergent Order in High-Dimensional Chaos

arXiv Mar 12, 2026
Text-to-image generation models have advanced rapidly, yet achieving fine-grained control over generated images remains difficult, largely due to limited understanding of how semantic information is encoded. We develop an interpretation of the color ... read more 
Machine Learning cs.AI cs.CV

GRADE: Benchmarking Discipline-Informed Reasoning in Image Editing

arXiv Mar 12, 2026
Unified multimodal models target joint understanding, reasoning, and generation, but current image editing benchmarks are largely confined to natural images and shallow commonsense reasoning, offering limited assessment of this capability under struc... read more 
Computer Vision and Pattern Recognition

OmniStream: Mastering Perception, Reconstruction and Action in Continuous Streams

arXiv Mar 12, 2026
Modern visual agents require representations that are general, causal, and physically structured to operate in real-time streaming environments. However, current vision foundation models remain fragmented, specializing narrowly in image semantic perc... read more 
Computer Vision and Pattern Recognition
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