Latest Articles for Image Processing

New methods for improving image generation through flexible latent space representation.

A new approach enhances image and shape representation using a learnable activation function.

This framework allows quick learning of new object categories with minimal data.

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

This model improves understanding of AI decisions in image classification.

A new method boosts texture data generation for machine learning models.

GAMMA improves online fashion item searches through precise attribute manipulation.

New techniques enhance robotic skills from simulations to real-world tasks.

New methods improve accuracy in analyzing sea ice through image segmentation.

A new method enhances 3D scene clarity using 2D segmentation masks.

DAF-Net merges infrared and visible images for clearer insights.

A look at how symmetry breaking enhances neural network performance and efficiency.

New methods improve accuracy and efficiency in recognizing similar objects.

A new framework accurately estimates depth from single defocused images.

GCA-SUN enhances object counting in images without labeled examples.

Compressed NMF offers a practical solution for analyzing large datasets efficiently.

WaveMixSR-V2 transforms low-resolution images into high-quality outputs efficiently.

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

A new method enhances 3D modeling of natural surfaces using limited satellite images.

ChefFusion combines multiple food-related tasks through advanced technology.

A new dual-path approach enhances object recognition for robots in challenging environments.

StableMamba enhances image and video processing with improved robustness and performance.

A new method improves camera location estimation in challenging lighting and surface conditions.

This article discusses the shift to continuous models in data analysis.

Pool Skip aids deep networks by addressing elimination singularities during training.

New concept assesses image feature usefulness for improved computer vision tasks.

A new approach to enhance classifier performance in complex data.

A deep dive into neural networks for total variation minimization in images.

AI helps create synthetic CTA images from TOF-MRA scans, improving diagnosis.

A new method to improve 3D rendering quality and detail.

Using synthetic PET/CT images to enhance tumor detection and model performance.

A new method improves uncertainty estimation in computer graphics for realistic scene representations.

Examining CaPE's effects on probability estimates in image segmentation.

A new method for segmenting images without relying on predefined classes.

A new method to improve deep learning models against adversarial attacks.

A new method enhances finding individuals in images using text cues.

A groundbreaking approach to enhance image quality by removing visual obstructions.

Exploring challenges and developments in detecting artificial images as technology advances.

A new method improves wavelet filter bank design for signal processing.

Techniques for solving challenges in data interpretation using mixed precision and regularization.