AI-driven text-to-image generation models have shaken up digital art and content creation, enabling any user, regardless of ...

Experimental results ... detection of small and distant targets. For the issues of complex backgrounds and multi-target detection in object recognition tasks, the EfficiBackbone utilizes the ...

ABSTRACT: One of the most basic and difficult areas of computer vision and image understanding ... real-time detection performance in changing weather and light exposure circumstances, as well as ...

Learn the difference between object detection and object recognition, how they work, and some common applications and examples in machine learning and computer vision. Skip to main content LinkedIn ...

Oriented object detection has been developed rapidly in the past few years, where rotation equivariance is crucial for detectors to predict rotated boxes. It is expected that the prediction can ...

Abstract: There are several major challenges in the detection and identification of contraband in millimeter wave synthetic aperture radar (SAR) security images ... performance while reducing ...

The recognition process was then performed on each region separately. As a result, these models often performed multiple iterations on the same image ... Finally, the performance of the YOLOv7 object ...

Detect vehicle license plates in videos and images using the tensorflow/object_detection API. Train object detection models ... Example usage, with plate char split: python build_tf_records.py \ ...