Bibliography (10):

  1. SWAG: Revisiting Weakly Supervised Pre-Training of Visual Perception Models

  2. ImageNet Large Scale Visual Recognition Challenge

  3. The Caltech-UCSD Birds-200-2011 Dataset

  4. Learning Visual Features from Large Weakly Supervised Data

  5. Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

  6. ResNeXt: Aggregated Residual Transformations for Deep Neural Networks