This work presents our solutions to the Algonauts Project 2023 Challenge. The
primary objective of the challenge revolves around employing computational
models to anticipate brain responses captured during participants' observation
of intricate natural visual scenes. The goal is to predict brain responses
across the entire visual brain, as it is the region where the most reliable
responses to images have been observed. We constructed an image-based brain
encoder through a two-step training process to tackle this challenge.
Initially, we created a pretrained encoder using data from all subjects. Next,
we proceeded to fine-tune individual subjects. Each step employed different
training strategies, such as different loss functions and objectives, to
introduce diversity. Ultimately, our solution constitutes an ensemble of
multiple unique encoders. The code is available at
this https URL

我们通过两步训练过程构建了基于图像的大脑编码器来解决 Algonauts Project 2023 Challenge，目标是预测在大脑视觉区域对复杂视觉场景的观察中捕获到的反应，并采用不同的训练策略构建了多个独特编码器的集成解决方案。