Latest Articles for Image Classification

A new method enhances low-resolution images for better recognition tasks.

IMWA enhances model performance in class-imbalanced learning tasks efficiently.

A new approach improves AI's ability to learn from limited examples.

A new hybrid system combines optical and electronic methods for efficient image classification.

VLMs struggle with image classification, but better data integration can enhance their capabilities.

Discover how MetaMixer transforms model efficiency and adaptability.

A look at CNNs and ViTs in fashion image recognition.

A new method improves small model accuracy using synthetic data.

A method to balance accuracy and cost in image classification models.

ReDistill offers an innovative solution to lower peak memory in neural networks.

A study on the effectiveness of various lightweight models in image classification.

New method enhances band selection for hyperspectral imaging without retraining.

A new neural network improves color recognition for better image classification.

AI technology enhances diagnosis and monitoring of stomach cancer through improved imaging techniques.

New method enhances learning in image-text models using composite examples.

KANs enhance image analysis and classification while using fewer resources.

ShiftAddAug enhances neural networks' efficiency and accuracy for edge devices.

A new method enhances self-supervised learning by adding a memory component.

HEML enhances image classification by focusing on important segments for better explanations.

Exploring fKANs and their impact on machine learning performance.

GPC offers a single model for multiple pathology classification tasks.

A new approach improves efficiency in AI vision tasks without losing accuracy.

CoAPT enhances image classification through context attribute words in prompt tuning.

Introducing a method to enhance AI system resilience through multi-task adversarial attacks.

New method enhances deep learning models for limited-resource devices.

A cutting-edge approach improves identification of altered and recaptured images.

New method enhances synthetic data generation while ensuring privacy protection.

MALT improves adversarial attack efficiency and success in image classification models.

New framework enhances image processing in multimodal large language models.

This research evaluates new methods for improving quantum machine learning models.

A new approach offers clearer explanations for image classification decisions.

New algorithms improve efficiency in variational inequality problems across various fields.

New methods aim to enhance the speed and efficiency of deep learning models.

CAS-ViT enhances image processing efficiency for mobile devices.

Self-TPT simplifies prompt tuning for vision-language models, improving speed and efficiency.

Combining quantum computing with machine learning enhances image classification techniques.

HaSPeR dataset aims to keep hand shadow puppetry alive through technology.

New method leverages image complexity for better AI training efficiency.

SOOD-ImageNet addresses challenges in computer vision related to changing image meanings.

A new method improves how models learn from images and text.