Exploring Kolmogorov-Arnold Networks (KANs)
Introduction
The Kolmogorov-Arnold Network (KAN) represents a significant advancement in neural network architecture, leveraging the powerful Kolmogorov-Arnold representation theorem. This
MAXVIT-UNET: MULTI-AXIS ATTENTION FOR MEDICAL IMAGE SEGMENTATION
Since their emergence, Convolutional Neural Networks (CNNs) have significantly advanced medical image analysis but struggle with capturing global interactions. Transformers
Ugly duckling detection using deep learning
The paper "Using deep learning for dermatologist-level detection of suspicious pigmented skin lesions from wide-field images" by L.
MultiFacetEval
Multifaceted Evaluation to probe LLMs in mastering medical knowledge
Yuxuan Zhou et al., June 2024
Large language models (LLMs) have
SuperYOLO: Super Resolution Assisted Object Detection in Multimodal Remote Sensing Imagery
Introduction
A large volume of remote sensing data is acquired through optical imaging sensors installed on artificial Earth satellites and
ReNoise
Revolutionizing Image Inversion and Editing with ReNoise
Recent advancements in text-guided diffusion models have unlocked powerful image manipulation capabilities. However,
Post-Hoc Concept Bottleneck Models
Human vs machine decision-making
Neural networks are powerful tools, but their decision-making process is a black-box. Given an input, like
FeatUp: A Model-Agnostic Framework for Features at Any Resolution
The world of computer vision is constantly pushing the boundaries of what machines can "see" and understand. A
Recently in AI | April 2024
In the fast-growing area of artificial intelligence, new and important research is making powerful systems do even more impressive things.
High-Resolution Video Synthesis with Latent Diffusion Models
Introduction
Generative models have made remarkable progress in recent years, especially with the advent of techniques like generative adversarial networks
