Model card for res2net101_26w_4s.in1k
A Res2Net (Multi-Scale ResNet) image classification model. Trained on ImageNet-1k by paper authors.

Model Details
Model Type: Image classification / feature backbone
Model Stats:
Params (M): 45.2
GMACs: 8.1
Activations (M): 18.4
Image size: 224 x 224
Papers:
Res2Net: A New Multi-scale Backbone Architecture: https://arxiv.org/abs/1904.01169
Dataset: ImageNet-1k
Original: https://github.com/gasvn/Res2Net/

arXiv.org

Res2Net: A New Multi-scale Backbone Architecture

Representing features at multiple scales is of great importance for numerous vision tasks. Recent advances in backbone convolutional neural networks (CNNs) continually demonstrate stronger...