It supports comprehensive SBOM generation by consolidating insights from both source and binary code analysis to create accurate, complete software inventories.

Optimize code using binary notation Code optimization can be more creative than compilers and instruction-level parallelism. Here are specific ways to optimize code using hardware resources with ...

We demonstrate that the PyCBC Inference modules produce unbiased estimates of the parameters of a simulated population of binary black hole mergers. We show that the parameters’ posterior ...

Class-agnostic binary segmentation identifies objects that are similar or very different from the complex background, including salient object detection (SOD) and camouflage object detection (COD).

This is the official code for our paper: How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model, where we ...

There are various binary semantic segmentation tasks in remote sensing (RS) that aim to extract the foreground areas of interest, such as buildings and roads, from the background in satellite images.