VMamba v0 Classification checkpoints

Checkpoints for VMamba (alias of vssm version 0)

These checkpoints correspond to the experiments done before date #20240119.

name	pretrain	resolution	acc@1	#params	FLOPs	best epoch	use ema	config
VMamba-T	ImageNet-1K	224x224	82.2	22M	4.5G 5.6G	292	did'nt add	config
VMamba-S	ImageNet-1K	224x224	83.5	44M	9.1G 11.2G	238	true	config
VMamba-B	ImageNet-1K	224x224	83.2	75M	15.2G 18.0G	260	did'nt add	config
VMamba-B*	ImageNet-1K	224x224	83.7	75M	15.2G 18.0G	241	true	config

Most backbone models trained without ema, which do not enhance performance \cite(Swin-Transformer). We use ema because our model is still under development, without hyperparameter tuning.

The checkpoints used in object detection and segmentation is VMamba-B with droppath 0.5 + no ema. VMamba-B* represents for VMamba-B with droppath 0.6 + ema, the performance of which is non-ema: 83.3 in epoch 262; ema: 83.7 in epoch 241