Our work focuses on recycling bounding box labels for object detection. The key to our approach is to propose a set of auxiliary tasks that are relevant but not identical to object detection. They ...

Current oriented object detection (OOD) methods estimate the object angle by designing different loss functions and bounding box representations. However, these approaches do not account for the ...

Abstract: Existing object detection methods is constrained by the high annotation ... a hybrid Gaussian heatmap generation method is proposed to encodes user-provided point and bounding box ...

Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box ...

Sonar image object detection plays a crucial role in obstacle detection ... This loss function optimizes the model by improving the accuracy of bounding box predictions and reducing computational ...

In recent years, artificial intelligence (AI) has advanced significantly across various fields, such as natural language ...

announced today that it has launched a new drug development technology and a cancer-detection experiment to the International Space Station (ISS) as the company scales its in-space pharmaceutical ...

BENGALURU: Researchers at the Indian Institute of Science (IISc) have developed an innovative solution to a persistent challenge in Mixed Reality (MR) technology for industrial applications: the ...

This box is engraved with the name of Sir Roland Hill, the originator of the standardised Penny Post system that was used nationwide. Comments are closed for this object What's this? Most of the ...