Latest Articles for Computer Vision

Introducing a new method for creating realistic images from a single source.

Innovative approach to creating clear street views from in-car video footage.

New framework improves image recognition across different domains using language descriptions.

A new method improves model accuracy with simple adjustments.

A new method improves facial landmark detection without labeled data.

A novel approach helps robots connect visual data with actions.

A novel approach enhances classification accuracy by reducing background reliance.

OV-DQUO enhances object detection, efficiently identifying known and unknown categories.

A new framework enhances object detection in complex scenes.

A new method improves 3D images by removing moving distractions.

Research reveals a method to improve multi-modal model performance by addressing representation gaps.

A new method improves accuracy in 3D facial landmark localization using semi-supervised learning.

CORENet improves object segmentation with limited data using weakly-supervised learning.

This study examines the effectiveness of spectral information versus edge perturbation in graph SSL.

A new approach to improve video object segmentation performance across diverse data sources.

A novel system tracks and recognizes dynamic 3D scenes using a single video.

New method addresses challenges in machine learning without labels.

Exploring how Riemannian Geometry reshapes our understanding of neural networks.

A new method enhances event data through innovative augmentation techniques.

A look into TFMAN and its impact on enhancing image quality.

A new method improves image quality evaluation with a diverse dataset.

A new method to assess neuron explanations in deep learning models.

New methods combat backdoor attacks on machine learning models for increased security.

New approach improves segmentation performance for known and unknown classes.

A new method to enhance multimodal models' image instruction following.

A method to enhance optimization on curved spaces with inexact calculations.

A new method enhances learning from environments in visual reinforcement systems.

A new approach to enhance 3D detection accuracy in changing environments.

New method improves 3D image segmentation consistency across different views.

A new approach improves model performance with different data sources.

This article discusses essential calibration methods for object detectors in critical applications.

MG-SLAM offers better tracking and mapping for indoor environments using line segments and structured surfaces.

Introducing a flexible method for pixel-level anomaly detection in computer vision.

A novel approach to improve low-resolution images using stochastic methods.

A new method enhances image quality in autoencoders through dynamic optimal transport.

CLIP exhibits strength in handling data imbalance in visual and language tasks.

Improving sample quality in machine learning through innovative methods.

A new method uses extreme points for effective instance segmentation with minimal annotation.

This study investigates how small changes can mislead CNNs in critical tasks.

A deep dive into how uncertainty affects neural network predictions.