Frequency Spatial Mamba
Project Overview
An experimental computer vision project exploring the Mamba state-space architecture for advanced spatial data processing.
The Challenge
Traditional Transformers struggle with the quadratic computational complexity of high-resolution images.
The Solution
Researched and applied Mamba's linear-time state-space models to process spatial and frequency visual data efficiently.
Client Rating
4.9
Key Results
Proved the viability of Mamba in vision tasks.
Significantly reduced compute overhead compared to ViTs.
Technology & Skills
PythonResearchDeep Learning