Model card for resnet18.fb_swsl_ig1b_ft_in1k
A ResNet-B image classification model.

This model features:

ReLU activations
single layer 7x7 convolution with pooling
1x1 convolution shortcut downsample
Pretrained on Instagram-1B hashtags dataset using semi-weakly supervised learning and fine-tuned on ImageNet-1k by paper authors.

Model Details
Model Type: Image classification / feature backbone
Model Stats:
Params (M): 11.7
GMACs: 1.8
Activations (M): 2.5
Image size: 224 x 224
Papers:
Billion-scale semi-supervised learning for image classification: https://arxiv.org/abs/1905.00546
Deep Residual Learning for Image Recognition: https://arxiv.org/abs/1512.03385
Original: https://github.com/facebookresearch/semi-supervised-ImageNet1K-models

arXiv.org

Billion-scale semi-supervised learning for image classification

This paper presents a study of semi-supervised learning with large convolutional networks. We propose a pipeline, based on a teacher/student paradigm, that leverages a large collection of...