# Pollen149

Pollen microscopy recognition must separate subtle differences between species while absorbing large variation within a species, and the heat-conduction vision backbone vHeat runs a complete two-dimensional heat-diffusion transform on every channel. To cut that redundancy, part of the channels are routed through a lightweight local branch, a controlled frequency-retention constraint is applied to mid-to-late DCT responses, and both ratios are set per network stage. On the in-house Pollen149 set, parameters fall from 30.20M to 25.69M and FLOPs from 4.94G to 3.97G with a 0.19 percentage-point Top-1 drop, while throughput rises from 924.15 to 1015.27 images/s.

Pollen microscopy recognition must separate subtle differences between species while absorbing large variation within a species, and the heat-conduction vision backbone vHeat runs a complete two-dimensional heat-diffusion transform on every channel. To cut that redundancy, part of the channels are routed through a lightweight local branch, a controlled frequency-retention constraint is applied to mid-to-late DCT responses, and both ratios are set per network stage. On the in-house Pollen149 set, parameters fall from 30.20M to 25.69M and FLOPs from 4.94G to 3.97G with a 0.19 percentage-point Top-1 drop, while throughput rises from 924.15 to 1015.27 images/s.