The focus on the comprehensive comparison is crucial for building a complete research on smallest bounding box algorithms, alongside hybrid approaches, complexity analysis, and applicability in ...

A Tensorflow implementation of the paper: Mousavian, Arsalan, et al. 3D Bounding Box Estimation Using Deep Learning and Geometry by Fu-Hsiang Chan. The aim of this project is to predict the size of ...

The box office figures are compiled from various sources and our own research. The figures can be approximate and Bollywood Hungama does not make any claims about the authenticity of the data.

Debates surrounding social media have never stopped since its early age two decades ago. This is largely because how the ...

Abstract: Both the minimum error entropy (MEE) and mixture MEE (MMEE) are extensively employed in distributed adaptive filters, exhibiting their robustness against ...

After hours: February 19 at 6:18:39 PM EST Loading Chart for BOX ...

Clustering algorithms are at the basis of several technological applications, and are fueling the development of rapidly evolving fields such as machine learning. In the recent past, however, it has ...

A critical component of these algorithms is the substitution box, or S-box, which is used to provide confusion in the encryption process. The design of effective S-boxes is a complex task that ...

Compared to horizontal ship detection, oriented ship detection based on oriented bounding boxes (OBBs) can capture the orientation and aspect ratio of ships, thus receiving increasing attention.

SSD is a one-stage object detection model that discretizes the output space of bounding boxes into a set of default boxes over different aspect ratios and scales per feature map location. Cascade ...