evaluation/README.md Abstract: What constitutes an object? This has been a long-standing question in computer vision. Towards this goal, numerous learning-free and ... Open-world Object Detection: ...

A University of Cincinnati study found machine learning models can aid in the automation and detection of abnormal ... SD events that were not identified using human scoring, likely due to a ...

This review discusses the current state of multicancer early detection tests, the role of machine learning in their development, and their implications for oncology practice and patient care. THE ...

These images were captured using a custom-built image acquisition ... Furthermore, in the field of fruit surface defect detection, traditional object detection methods based on image processing and ...

FISY utilizes YOLO, a fast and accurate object detection neural network ... YOLO detects the minority abnormality class (fractures), addressing data imbalance issues. Each depth sample undergoes ...

AI everywhere, but optimized for different applications Object detection using machine vision requires an AI model ... Thomas Andersen, vice president for AI and machine learning at Synopsys, said ...

For object detection algorithms ... a certain number of frames, the detection mechanism is introduced again, and then the output of the target frame is completed through the feature fusion algorithm ...