Focal Loss for Dense Object Detection
The highest accuracy object detectors to date are based on a two-stage approach popularized by R-CNN, where a classifier is applied to a sparse set of candidate object locations...
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848 publications
Correlation Coefficients: Appropriate Use and Interpretation
Correlation in the broadest sense is a measure of an association between variables. In correlated data, the change in the magnitude of 1 variable is associated with a change in ...
Sample Size in Qualitative Interview Studies
Sample sizes must be ascertained in qualitative studies like in quantitative studies but not by the same means. The prevailing concept for sample size in qualitative studies is ...
Risk Factors Associated With Acute Respiratory Distress Syndrome and Death in Patients With Coronavirus Disease 2019 Pneumonia in Wuhan, China
Older age was associated with greater risk of development of ARDS and death likely owing to less rigorous immune response. Although high fever was associated with the developmen...
Galactic Stellar and Substellar Initial Mass Function
We review recent determinations of the present day and initial mass functions in various components of the Galaxy, disk, spheroid, young and globular clusters. As a general feat...
Literature review as a research methodology: An overview and guidelines
Knowledge production within the field of business research is accelerating at a tremendous speed while at the same time remaining fragmented and interdisciplinary. This makes it...
Dexamethasone in Hospitalized Patients with Covid-19.
BACKGROUND: Coronavirus disease 2019 (Covid-19) is associated with diffuse lung damage. Glucocorticoids may modulate inflammation-mediated lung injury and thereby reduce progres...
A well-behaved electrostatic potential based method using charge restraints for deriving atomic charges: the RESP model
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTA well-behaved electrostatic potential based method using charge restraints for deriving atomic charges: the RESP modelChristopher I....
EfficientDet: Scalable and Efficient Object Detection
Model efficiency has become increasingly important in computer vision. In this paper, we systematically study neural network architecture design choices for object detection and...