Pioneering xLSTM for Computer Vision

We are thrilled to unveil Vision-LSTM (ViL), an innovative backbone for computer vision based on the cutting-edge xLSTM architecture. Developed by the NXAI team, ViL represents a significant leap forward in the realm of visual data processing. Leveraging the robust capabilities of xLSTM, originally designed for language modeling, ViL introduces a new framework that not only outperforms traditional models but also sets new benchmarks in efficiency and accuracy.

Exciting Prospects

The potential applications for ViL are vast and transformative. From advanced segmentation tasks to intricate medical imaging and complex physics simulations, ViL is poised to redefine what's possible in computer vision. Its linear computational complexity and innovative alternating bi-directional processing make it a robust candidate for future developments in high-resolution image analysis.

Collaborative Effort and Acknowledgments

The development of ViL was a collaborative effort, with significant contributions from Johannes Brandstetter, Sepp Hochreiter, Maximilian Beck, and Korbinian Poeppel. This project was supported by various institutions and research grants, including EuroHPC Joint Undertaking and ELLIS Unit Linz, whose resources and collaboration were instrumental in bringing ViL to fruition.

Vision-LSTM (ViL) represents a paradigm shift in computer vision, leveraging the strengths of xLSTM to deliver unparalleled performance and efficiency. As we continue to refine and optimize this groundbreaking architecture, ViL is set to become a cornerstone in the field of computer vision, driving innovation and setting new standards for high-resolution image analysis.

Image Alt Text

Further Information For more details, visit our project page and access our paper and code.