Pytorch implementation of Exploring Simple Siamese Representation Learning by Xinlei Chen & Kaiming He
| KNN Acc (%) | Linear Eval (%) | |
|---|---|---|
| Paper | - | 91.8 |
| This Repo | 88.44 | 87.30 |
- train_batch_size (default:512)
- num_epochs (default:800)
- lr (default:0.03)
- momentum (default:0.9)
- weight_decay (default:0.0005)
- save_dir (default:current directory)
- save_acc (default:80%)
Note: the weight file starts to save when knn accuracy surpasses save_acc
- Pre-activation ResNet: Identity Mappings in Deep Residual Networks by Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
- Pre-activation ResNet code: kuangliu pytorch-cifar