Artificial Intelligence Medical Compendium

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

Showing 121 to 130 of 212,780 articles

Stochastic Meta-Unlearning: Bridging Language Backbone and Multimodal Unlearning

arXiv Jul 21, 2026
Machine unlearning for vision-language models (VLMs) remains underexplored. Unlike language models, VLMs combine a language backbone with visual components, which makes unlearning more complex. There is a surprising phenomenon when moving from single... read more 
Computation and Language cs.LG

Norm or Direction? Decoding Vision Mambas for High-Resolution Vision

arXiv Jul 21, 2026
Vision Mamba models replace quadratic self-attention with linear complexity selective state space models (SSMs), emerging as efficient visual backbones. However, MambaOut demonstrates that a Gated CNN block can match or exceed VMamba on image classif... read more 
Computer Vision and Pattern Recognition cs.AI

Seeing Before Generating: Object Perception Enhances Single-View 3D Reconstruction

arXiv Jul 21, 2026
The relationship between object perception and reconstruction is well established in human vision, yet remains underexplored in computer vision. In this paper, we demonstrate that learnt object perception can significantly enhance 3D reconstruction. ... read more 
Computer Vision and Pattern Recognition

DeforM: Reasoning-Guided Physics-Aware Video Generation via Spatial-Temporal Masking

arXiv Jul 21, 2026
Video generation models achieve high visual quality but often struggle to generate physics-aware videos. Unlike rigid-body motion, which can be described by explicit trajectories or formulas, complex deformation dynamics remain challenging to synthes... read more 
Computer Vision and Pattern Recognition

Dual-Edged Homogeneous-Modality Similarity: Towards Visible-Infrared Modality-Incomplete Person Re-Identification with Modality Adaptive Matching

arXiv Jul 21, 2026
Visible-Infrared Person Re-Identification (VI-ReID) operates under a closed-world assumption, where queries and galleries are from heterogeneous modalities. However, in open-world scenarios, both sets are likely to contain homogeneous and heterogeneo... read more 
Computer Vision and Pattern Recognition

Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models

arXiv Jul 21, 2026
A popular route to interpretable zero-shot classification asks a large language model (LLM) to describe each class name and prompts CLIP with the resulting descriptors. We show that these descriptors carry little visual evidence of their own: removin... read more 
Computer Vision and Pattern Recognition cs.AI cs.LG eess.IV

Contraction-Gauge Preconditioning for Quantized Matrix Multiplication

arXiv Jul 21, 2026
We study low-precision computation of C=AB with both factors quantized. We derive an exact finite-dimensional identity for the expected squared product error under independent, zero-mean entrywise errors with known variance fields; it holds exactly f... read more 
Machine Learning cs.IT math.NA

SkyEV: RGB-Event UAV detection and tracking dataset and baseline

arXiv Jul 21, 2026
Detecting UAVs in air spaces has become increasingly important due to UAVs widespread availability and easy usage. However, due to their small size, they are typically difficult to detect at a sufficient range. For the training of optimized detection... read more 
Computer Vision and Pattern Recognition

ConceptCF: Concept-based Counterfactuals for the Explainability of Time Series

arXiv Jul 21, 2026
This paper proposes ConceptCF, a method for counterfactual generation that operates on human-interpretable concepts. In high-stakes domains such as healthcare and predictive maintenance, artificial intelligence models can increase efficiency and safe... read more 
Machine Learning cs.AI

Decafs: Disentangled Conditional adversarial Flows

arXiv Jul 21, 2026
Flow-based models have established state-of-the-art performance in generative modeling across domains, but are hard to interpret due to their complex latent embeddings. In particular, the entanglement of generative factors in the latent space hinders... read more 
Machine Learning
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