Latest Articles for Image Classification

FC-KAN improves image analysis through smart function combinations.

A model distinguishing real images from computer-generated ones.

ViTTM enhances image processing through innovative token-based mechanisms.

A method to improve model adaptability while preserving original skills.

Discover a new method for AI learning that improves knowledge retention.

FOLK enhances self-supervised learning through adaptive frequency masking and a teacher-student design.

Improving model efficiency in remote sensing through knowledge distillation techniques.

This paper compares Vision Transformers and CNNs for classifying side-scan sonar images.

Research shows partially coherent light improves accuracy in optical neural networks.

BiaPy makes bioimage analysis accessible to researchers without coding skills.

Combining graph neural networks and variational autoencoders enhances image classification accuracy.

Introducing Hyperbolic Vision Transformers for advanced image classification and analysis.

XNet leverages the Cauchy Activation Function for improved accuracy in complex data tasks.

SurfaceAI uses street images to assess road surface quality for safer travel.

A new method enhances image recognition where data is scarce.

New AI model streamlines brain cell analysis, enhancing efficiency for scientists.

Learn how to train computers to recognize images without bias.

Discover how AI interprets images with new frameworks for transparency.

Exploring the efficiency of expert models in image classification tasks.

UltraSam enhances ultrasound image analysis using the extensive US-43d dataset.

A look into Static Key Attention and its benefits for image processing.

Exploring the need for fair AI in image classification.

A look into how Doubly-UAP tricks AI models with images and text.

Research uses math to classify cat and dog breeds by fur color.

RapidNet enhances mobile image processing speed and accuracy.

Discover how bounded nonlinear curves enhance image classification methods.

Graph-Generating State Space Models enhance how machines learn from complex data.

A new method improves image classification while reducing model size.

New super-pixel approach enhances understanding of neural network decisions.

PowerMLP offers a speedy solution for efficient neural network training.

New analog neuromorphic chips maintain performance despite temperature changes.

A unified framework for efficient computer vision tasks using minimal data.

A new method to enhance the efficiency of computer vision models without sacrificing accuracy.

Learn how computers can recognize images with limited examples.