Latest Articles for Object Detection

D-CLOSE offers clearer insights into AI object detection decisions.

A new system enhances object detection in augmented reality using HoloLens 2.

G-CAME enhances understanding of object detection model predictions through clear saliency maps.

A new framework improves synthetic data generation for object detection tasks.

A look into how DETR models are changing object detection.

This article discusses a new method for improving image recognition using regions.

FasterViT combines CNNs and Vision Transformers for efficient image processing.

A new dataset for machine perception in augmented reality environments.

A new method for detecting unauthorized drones using advanced technology.

A method to generate questions from images and captions for better AI interaction.

A new method enhances Vision Transformers for better image understanding with fewer resources.

Research focuses on improving AI's reasoning abilities through human-inspired methods.

Adversarial examples can confuse object detection systems, revealing security gaps.

A new approach to enhance trust in object detection through reliable calibration techniques.

A strategy to optimize data labeling in computer vision tasks.

Research focuses on improving detection methods for graphical elements in documents.

Explore how Digital Twins and semantic communication improve farming practices.

Improving simulation quality through offline rendering techniques for self-driving vehicles.

A study on hand-crafted and deep learning methods for 3D object recognition.

Learn about SN-Netv2, a model that enhances efficiency in computer vision tasks.

A new defense method tackles adversarial attacks on object detection in remote sensing images.

A new method enhances how computers process imperfect images.

A new method speeds up data labeling and model training.

A new framework improves efficiency and accuracy in HOI detection.

New technique enhances robotic object detection in agricultural settings.

Using AI to improve wildflower monitoring and ecosystem health.

This research focuses on efficient action recognition using only video frames.

NORIS improves image selection for training object detection models efficiently.

M-FLAG improves medical image analysis using frozen language models and optimized training.

RepViT combines CNNs and ViTs for efficient mobile vision applications.

New methods improve object detection in fog and rain for self-driving cars.

A new method enhances the reliability of image classification models.

A user-friendly tool for analyzing animal images and videos.

Using AI to tackle complex challenges in astronomical surveys.

NAPTRON enhances object detection by addressing challenges with out-of-distribution samples.

ETran efficiently ranks pre-trained models for object detection and image classification.

Improving base layer for better machine analysis and human viewing.

New methods improve object detection systems' resistance to adversarial changes.

A new approach improves efficiency in Vision-Language Pre-training tasks.

New methods enhance object tracking and identification in multimedia content.