Release V0.2.5-Mixup-iNaturalist2018-Weights · Westlake-AI/openmixup

A collection of weights and logs for mixup classification benchmark on iNaturalist-2018 (download, config). You can download all files from Baidu Cloud: iNaturalist-2018 (wy2v).

All compared methods adopt ResNet-50 and ResNeXt-101 (32x4d) architectures and are trained 100 epochs using the PyTorch training recipe. The training and testing image size is 224 with the CenterCrop ratio of 0.85. We search $\alpha$ in $Beta(\alpha, \alpha)$ for all compared methods.
The median of top-1 accuracy in the last 5 training epochs is reported for ResNet variants.
Visualization of mixed samples from AutoMix and SAMix are provided in zip files. [2022-08-22] Update MixBlock keys in AutoMix and SAMix checkpoints.
Test pre-trained weights with tools/dist_test.sh or fine-tune pre-trained models tools/dist_train.sh with --load_checkpoint.

Mixup Classification Benchmark on iNaturalist-2018