: Branch inputs are set at different spatial and temporal scales to reduce compute overhead by over 60%.
Reducing the radiation dose while maximizing the area of biological material sampled. biglvesmll
: Processes low-resolution difference frames ( : Branch inputs are set at different spatial
pixels) to capture temporal dynamics (movement over time) while ignoring spatial noise. 🛠️ Feature Preparation Process biglvesmll
: The prepared features allow the model to simultaneously estimate: Cardiac Activity (Heart Rate/Pulse) Respiration (Breathing patterns) Facial Actions (Micro-expressions) 🔬 Related Technology: BIGSMALL in Microscopy
The model uses two distinct "branches" to process visual data simultaneously: : Uses high-resolution frames (
) to ensure its final output dimensions match the "Small" branch, balancing the importance of each feature set during fusion.