A2MIM-ImageNet-Weights

A collection of weights and logs for self-supervised learning benchmark on ImageNet-1K (download). You can find pre-training codes of compared methods in OpenMixup and download all files from Baidu Cloud: A2MIM (3q5i).

Pre-training and Fine-tuning with ViT-S/B/L on ImageNet-1K

Method	Backbone	Epoch	Fine-tuning Top-1	Pre-training	Fine-tuning	Results
SimMIM	ViT-Small	800	81.7	config | ckpt | vis	config	ckpt | log
A2MIM	ViT-Small	800	82.1	config | ckpt | vis	config	ckpt | log
SimMIM	ViT-Base	800	83.8	config | ckpt | vis	config	ckpt | log
A2MIM	ViT-Base	800	84.3	config | ckpt | vis	config	ckpt | log
SimMIM	ViT-Large	800	85.6	config | ckpt	config	log
A2MIM	ViT-Large	800	86.1	config | ckpt | vis	config	log

Pre-training and Fine-tuning with ResNet-50/101/152/200 on ImageNet-1K

Method	Backbone	Epoch	Fine-tuning (A2) Top-1	Pre-training	Fine-tuning	Results
SimMIM	ResNet-50	300	79.9	config | ckpt | vis	RSB A2	-
A2MIM	ResNet-50	100	78.8	config | ckpt | vis	RSB A3	ckpt | log
A2MIM	ResNet-50	300	80.4	config | ckpt | vis	RSB A2	ckpt | log
SimMIM	ResNet-101	300	81.3	config | ckpt	RSB A2	ckpt (A3) | log (A3)
A2MIM	ResNet-101	300	81.9	config | ckpt (300ep) | ckpt (800ep)	RSB A2	ckpt (A2) | log (A2)
Si...