Latest Articles for Computer Vision

A new approach improves task performance in vision-language models.

A new framework enhances language models by blending text and images for richer interactions.

Learn how Padding Aware Neurons impact image processing in machine learning models.

Budding Ensemble Architecture enhances object detection reliability and accuracy.

IA-ViT improves explanation quality in visual tasks.

New data source enhances machine learning models in reasoning tasks.

MoCo-SAS leverages self-supervised learning for enhanced underwater object recognition.

TEMPO enhances pose estimation by tracking and predicting movements in real-time.

A new method improves accuracy in head pose estimation across diverse orientations.

Robots use images to understand and manipulate objects, improving home interactions.

This article discusses ways to enhance AI model reliability in changing environments.

This article discusses Salient Channel Tuning, a method for efficient fine-tuning of large models.

A new method helps robots safely navigate rough terrains using aerial images.

This article investigates gender bias in Vision Transformers compared to CNNs.

A new method reduces sketch creation effort in image retrieval tasks.

YCB-Ev dataset enhances pose estimation using RGB-D and event camera data.

New method generates balanced datasets for unbiased facial recognition technology.

A novel approach to enhance image retrieval effectiveness and training.

A new method combines video saliency prediction and detection, improving performance.

Study reveals effects of global and rolling shutters on pedestrian detection.

A new framework enhances accuracy in 3D data alignment across different sensors.

Exploring the role of GNNs in processing point cloud data.

This article discusses the role of BEV perception in self-driving technology.

Combining visual data with wireless tech to improve beam training efficiency.

Introducing an efficient multi-class labeling method for semantic segmentation.

RenderIH dataset improves accuracy in understanding human hand interactions.

LiteTrack balances speed and accuracy for object tracking in various applications.

A new method improves normal estimation in 3D point clouds.

A novel approach improves accuracy in answering image-related questions.

Research on detecting unusual objects in autonomous vehicles through advanced imaging techniques.

A new method improves video object detection without labeled data.

Enhancements to generative models improve knowledge retention in machine learning.

NOMAD dataset helps improve drone detection of people in emergencies.

A new approach for human pose estimation prioritizing privacy and efficiency.

New technique improves diversity of indoor panoramic image datasets.

TBTNet model enhances few-shot segmentation accuracy with minimal data.

Forgedit streamlines image editing by merging text prompts and original images.

Improving continual learning by retaining knowledge using web data.

Exploring the enhanced capabilities of VSLAM with RGB-D cameras and fiducial markers.

Parking Pedestrian Dataset improves safety in self-driving cars by focusing on pedestrian detection.