Paper is available at: http://arxiv.org/abs/2303.11637
EBVs pretrain on ImageNet-1K can be download at: https://github.com/aassxun/Equiangular-Basis-Vectors/releases/download/untagged-72ef569681e789dd1bb8/EBV_ResNet_dim1000_SGD_epoch605.pth
Data for the 10w classes classification task can be download from: https://github.com/aassxun/Equiangular-Basis-Vectors/releases/download/10w_classes/10w_classes.zip
It contains 120w images for training and 60w images for validation. (Resize to 224*224)
Python 3.8.11
Pytorch 1.11.0
torchvision 0.12.0
numpy 1.22.4
timm 0.6.11
Please refer to /Generate_EBV/Generate_EBV.py
Training logs and code can be found at: /ImageNet_Validation_Experiment/ and /ImageNet_Ablation_Study/Log/
The random seed for all the experiments is 42.
All the code and training logs can be found at: /coco_detection/work_dirs/ebv_det/
The random seeds for each experiment are exactly the same as the corresponding experimental settings in MMdetection.
All the code and training logs can be found at: /ADE20k_segmentation/work_dirs/ebv_seg/
The random seeds for each experiment are exactly the same as the corresponding experimental settings in MMSegmentation.