Abstract: Single-domain generalized object detection aims to enhance a model’s generalization to multiple unseen target domains using only data from a single source domain during training. This is a ...
Abstract: Sparse linear algebra plays a crucial role across various fields because it reduces computational workload and optimizes memory usage. However, the irregular structure of sparse data creates ...
This project implements the Cahn-Ingold-Prelog (CIP) Priority Assignment Algorithm — the systematic method for assigning R/S stereochemical descriptors to chiral centers. It features a recursive graph ...
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