Bibliography (7):

1. ImageNet Large Scale Visual Recognition Challenge

2. Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

3. Vision Transformer: An Image is Worth 16×16 Words: Transformers for Image Recognition at Scale

4. Deep Residual Learning for Image Recognition

5. ALIGN: Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

7. https://github.com/RAIVNLab/MRL