The objective of the Value of Agricultural Commodities Produced (VACP) collections is to calculate an annual value of the agricultural commodities produced in Australia by understanding the volume of ...
Detection identifies objects as axis-aligned boxes in an image. Most successful object detectors enumerate a nearly exhaustive list of potential object locations and classify each. This is wasteful, ...
Abstract: The shape and pose estimation of a human body are essential for human behavior analysis, sports and medical analysis, and virtual reality. Although 2D image data are much easier to acquire ...
Download the 6D pose datasets (LINEMOD, Occluded LINEMOD, YCB-Video) from the BOP website and VOC 2012 for background images. @article{Wang_self6dpp, title = {Occlusion-Aware Self-Supervised Monocular ...
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Abstract: In this study, we propose a method to estimate energy consumption in battery-powered Narrowband Internet of Things (NB-IoT) devices using the statistical data available from the NB-IoT modem ...
Research studies show that people are not good at doing estimations. Generally, we fall into one of two categories of being: (1) under confident or (2) overconfident when it comes to producing ...
Deloitte Access Economics has valued the Great Barrier Reef at A$56 billion, with an economic contribution of A$6.4 billion per year. Yet this figure grossly underestimates the value of the reef, as ...
Particle filtering is an essential tool for the estimation and prediction of complex systems including non-Gaussian features. A class of particle filters, clustered particle filters, is introduced for ...
Collecting full network data is often infeasible, costly, or limited by privacy concerns. Aggregated Relational Data (ARD), where researchers collect the number of connections to different groups, can ...
For more than 40 years, null-hypothesis significance testing and P values have been questioned by statistical commentators, their utility criticized on philosophical and practical grounds 1. Luckily, ...
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