The aim is to provide an efficient implementation of the SwinB model with custom algorithms for deep learning applications.
Provided official implementation in a zip file
Included custom algorithms for specific tasks
Developed experimental scripts for testing
High performance in various deep learning benchmarks
Efficient processing capabilities in specified tasks
Support for easy replication and extension of research findings
Abstract
This source code folder (zip file) contains the official implementation, custom algorithms, and experimental scripts described in our manuscript submitted to Scientific Reports.