Out-of-distribution detection algorithms for robust insect classification dataset and models

This folder contains trained models and datasets for reproducing the results in the paper on out-of-distribution detection algorithms for robust insect classification. Specifically, it contains the following folders: OODInsect (out-of-distribution data) MSP, MAH, and EBM trained models, each wrapped around the three classifiers of ResNet50, RegNet32, and VGG11, and different combinations of ID and OOD test data for reproducing RQ1, RQ2, and RQ3. ID3 (in-distribution test data)本文件夹包含用于复现本文中鲁棒昆虫分类任务下分布外检测（out-of-distribution）算法相关研究成果的已训练模型与数据集。具体包含以下子文件夹：OODInsect（分布外数据集，out-of-distribution data）、基于MSP、MAH与EBM算法训练得到的模型——上述三类算法的模型均分别基于ResNet50、RegNet32与VGG11三种分类器构建；此外还包含不同组合的分布内（in-distribution）与分布外测试数据集，用于复现RQ1、RQ2与RQ3三个研究问题，其中ID3为分布内测试数据集（in-distribution test data）。