Artificial Intelligence Medical Compendium

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

Showing 28,091 to 28,100 of 219,064 articles

X-PCR: A Benchmark for Cross-modality Progressive Clinical Reasoning in Ophthalmic Diagnosis

arXiv Apr 22, 2026
Despite significant progress in Multi-modal Large Language Models (MLLMs), their clinical reasoning capacity for multi-modal diagnosis remains largely unexamined. Current benchmarks, mostly single-modality data, can't evaluate progressive reasoning a... read more 
Computer Vision and Pattern Recognition

Hallucination Early Detection in Diffusion Models

arXiv Apr 22, 2026
Text-to-Image generation has seen significant advancements in output realism with the advent of diffusion models. However, diffusion models encounter difficulties when tasked with generating multiple objects, frequently resulting in hallucinations wh... read more 
Computer Vision and Pattern Recognition

ConeSep: Cone-based Robust Noise-Unlearning Compositional Network for Composed Image Retrieval

arXiv Apr 22, 2026
The Composed Image Retrieval (CIR) task provides a flexible retrieval paradigm via a reference image and modification text, but it heavily relies on expensive and error-prone triplet annotations. This paper systematically investigates the Noisy Tripl... read more 
Computer Vision and Pattern Recognition

Object Referring-Guided Scanpath Prediction with Perception-Enhanced Vision-Language Models

arXiv Apr 22, 2026
Object Referring-guided Scanpath Prediction (ORSP) aims to predict the human attention scanpath when they search for a specific target object in a visual scene according to a linguistic description describing the object. Multimodal information fusion... read more 
Computer Vision and Pattern Recognition

Self-supervised pretraining for an iterative image size agnostic vision transformer

arXiv Apr 22, 2026
Vision Transformers (ViTs) dominate self-supervised learning (SSL). While they have proven highly effective for large-scale pretraining, they are computationally inefficient and scale poorly with image size. Consequently, foundational models like DIN... read more 
Computer Vision and Pattern Recognition

MLG-Stereo: ViT Based Stereo Matching with Multi-Stage Local-Global Enhancement

arXiv Apr 22, 2026
With the development of deep learning, ViT-based stereo matching methods have made significant progress due to their remarkable robustness and zero-shot ability. However, due to the limitations of ViTs in handling resolution sensitivity and their rel... read more 
Computer Vision and Pattern Recognition

Fast-then-Fine: A Two-Stage Framework with Multi-Granular Representation for Cross-Modal Retrieval in Remote Sensing

arXiv Apr 22, 2026
Remote sensing (RS) image-text retrieval plays a critical role in understanding massive RS imagery. However, the dense multi-object distribution and complex backgrounds in RS imagery make it difficult to simultaneously achieve fine-grained cross-moda... read more 
Computer Vision and Pattern Recognition

Discrete Preference Learning for Personalized Multimodal Generation

arXiv Apr 22, 2026
The emergence of generative models enables the creation of texts and images tailored to users' preferences. Existing personalized generative models have two critical limitations: lacking a dedicated paradigm for accurate preference modeling, and gene... read more 
Information Retrieval

Explicit Dropout: Deterministic Regularization for Transformer Architectures

arXiv Apr 22, 2026
Dropout is a widely used regularization technique in deep learning, but its effects are typically realized through stochastic masking rather than explicit optimization objectives. We propose a deterministic formulation that expresses dropout as an ad... read more 
Machine Learning

From Image to Music Language: A Two-Stage Structure Decoding Approach for Complex Polyphonic OMR

arXiv Apr 22, 2026
We propose a new approach for the second stage of a practical two-stage Optical Music Recognition (OMR) pipeline. Given symbol and event candidates from the visual pipeline, we decode them into an editable, verifiable, and exportable score structure.... read more 
Sound cs.CV
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