Institute for Molecular Modeling and Simulation, Department for Material Sciences and Process Engineering, University of Natural Resources and Life Sciences (BOKU), Vienna, Muthgasse 18, 1190 Vienna, ...

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 ...

Quantum computers are a revolutionary technology that harnesses the principles of quantum mechanics to perform calculations that would be infeasible for classical computers. Evaluating the performance ...

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 ...