Latest Articles for Computer Vision

Introducing CPPD, a model that improves text recognition speed and accuracy.

Examining the gap between model performance and real-world conditions.

A new method helps computers relate sketches to real images effectively.

New dataset boosts 3D vehicle modeling techniques using Neural Radiance Fields.

PG-RCNN improves 3D object detection accuracy using LiDAR technology.

A new method improves tracking accuracy and object representation in video segmentation.

This study examines how pre-training data affects model robustness in various tasks.

A new method enhances image transformations for better accuracy and efficiency.

A new network improves image recognition using labeled and unlabeled data.

Investigating vulnerabilities of DNNs against adversarial noise in image denoising.

A benchmarking tool for assessing YOLO models on low-resource devices.

A study on SCS versus traditional convolutional layers in image classification.

This article examines how generative images can improve visual recognition tasks.

Using motion information to improve object recognition in robots.

A new method enhances the reliability of image classification models.

Cos R-CNN enables real-time detection of new objects with minimal examples.

Innovative methods improve training efficiency in deep neural networks.

New framework improves object location accuracy using relative positioning.

A new method enhances image recognition through better attribute handling.

A new method enhances visual data representation using language models.

A new method improves point cloud analysis through efficient clustering strategies.

A new framework improves traffic accident detection accuracy in driving videos.

A novel approach to reconstructing 3D scenes from single images in robotics.

New methods improve image segmentation with limited data in medical imaging.

MAMo enhances depth estimation from video, improving accuracy and speed.

Study reveals new methods for predicting human actions using advanced sensors.

A new method enhances low-light images while reducing noise and preserving colors.

This article discusses methods to improve semantic segmentation performance using atrous rates.

A new approach to enhance image labeling accuracy in machine learning.

This method enhances dental image segmentation with fewer labeled samples.

ECO improves image classification accuracy through multiple, simpler text prompts.

A new method enhances point cloud alignment without needing labeled data.

New methods improve HDR imaging using deep learning and segmentation techniques.

A new approach improves machine learning performance using text prompts for style generation.

Researchers tackle depth estimation challenges with new robust methods.

New models improve Arabic handwriting recognition speed and accuracy.

A new approach to strengthen visual AI against natural disturbances using realistic objects.

A new method improves image classification by combining multiple self-supervised tasks.

A new method improves action recognition by using fewer frames without losing important context.

Quantum state assignment flows enhance data analysis through flexible label assignments.