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.

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Thomas J. Brock is a CFA and CPA with more ...

Abstract: Semantically coherent out-of-distribution detection (SCOOD) is a recently proposed realistic OOD detection setting: given labeled in-distribution (ID) data and mixed in-distribution and ...

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

LiDAR point cloud sparsity and distance-dependent long-tailed distributions make Random Sampling less suitable for this scenario. To alleviate this problem, we propose Polar Cylinder Balanced Random ...

Sampling is a technique in which samples are drawn at random (without any favor or bias). For this, suitable measures or procedures may be laid down and adopted according to the nature and ...