Training efficiency is important to deep learning as model size and training data size are increasingly larger.
PyTorch Implementation of EfficientNetV2 Family PyTorch implementation of EfficientNet V2 Reproduction of EfficientNet V2 architecture as described in EfficientNetV2: Smaller Models and Faster Training by Mingxing Tan, Quoc V. Le with the PyTorch framework.
Models Architecture # Parameters FLOPs Top-1 Acc. (%)
EfficientNetV2-S 22.10M 8.42G @ 384
EfficientNetV2-M 55.30M 24.74G @ 480
EfficientNetV2-L 119.36M 56.13G @ 480
EfficientNetV2-XL 208.96M 93.41G @ 512
https://paperswithcode.com/paper/efficientnetv2-smaller-models-and-faster
https://wandb.ai/wandb_fc/pytorch-image-models/reports/EfficientNetV2--Vmlldzo2NTkwNTQ
http://pytorch.org/vision/main/generated/torchvision.models.efficientnet_v2_s.html
https://pytorch.org/vision/main/_modules/torchvision/models/efficientnet.html