Abstract: Label assignment is a crucial process in object detection, which significantly influences the detection performance by determining positive or negative samples during training process.

Abstract: This paper proposes a new perspective on the relationship between the sampling and aliasing. Unlike the uniform sampling case, where the aliases are simply periodic replicas of the original ...

Introduction: Species distribution models can predict the spatial distribution of vector-borne diseases by forming associations between known vector distribution and environmental variables. In ...

R package for statistical modeling with the Skellam distribution, supporting inference, random sampling, and regression for differences of independent Poisson counts.

Denoising Diffusion Probabilistic Models (DDPMs) have gained great attention in adversarial purification. Current diffusion-based works focus on designing effective condition-guided mechanisms while ...

Random sampling analysis method, vector illustration example... Random sampling analysis method, vector illustration example diagram. Unbiased choosing people sample from the crowd. Population ...

Sampling distributions are vital in the world of statistics and data analysis. They provide estimations and insight into the characteristics of a population based on samples taken from that population ...