CZII CryoET Object Identification Challenge - 3rd place solution - ONCE UPON A MOON

Deposition Overview

The 3rd place solution implements an ensemble of 3D UNet models with ResNet101 backbone, trained using Cross Entropy loss on all seven particle classes including the non-scored beta-amylase. Training utilizes smaller input dimensions (64×128×128) while inference benefits from larger dimensions (64×256×256), coupled with Exponential Moving Average (EMA) with a decay of 0.995 for model stabilization. The final submission consists of a 4-fold average ensemble (from 7-fold cross-validation) with test-time augmentation including flips along x, y, z axes and 90-degree rotations in the x-y plane.