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"A new family of convolutional networks that have faster training speed and better parameter efficiency than previous models. Our experiments show that EfficientNetV2 models train much faster than state-of-the-art models while being up to 6.8x smaller. "
Motivation, pitch
It´s a new version of a popular model that was just implemented in torch vision.
Thanks @bratao. I agree it's worth considering adding them. I've added the model on the following issue that tracks all the model additions #2707. I'll close this one to keep things tidy. Let's continue the discussion on the other thread.
🚀 The feature
Implement EfficientNetV2
https://arxiv.org/abs/2104.00298
"A new family of convolutional networks that have faster training speed and better parameter efficiency than previous models. Our experiments show that EfficientNetV2 models train much faster than state-of-the-art models while being up to 6.8x smaller. "
Motivation, pitch
It´s a new version of a popular model that was just implemented in torch vision.
Alternatives
There are some implementations on the Web,
https://github.com/rwightman/pytorch-image-models/blob/master/timm/models/efficientnet.py
https://github.com/WZMIAOMIAO/deep-learning-for-image-processing/blob/master/pytorch_classification/Test11_efficientnetV2/model.py
Additional context
No response
cc @datumbox
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