Bibliography:

1. ​ ‘end-to-end’ tag

2. ​ Attention Is All You Need

3. ​ fully-connected#mlp-mixer

   [Transclude the forward-link's context]

4. ​ MLP-Mixer: An all-MLP Architecture for Vision

5. ​ DETR: End-to-End Object Detection with Transformers

6. ​ Focal Loss for Dense Object Detection

7. ​ Mask R-CNN

8. ​ Deep Residual Learning for Image Recognition

9. ​ Training data-efficient image transformers & distillation through attention

10. ​ DINO: Emerging Properties in Self-Supervised Vision Transformers

11. Wikipedia Bibliography:

    1. ​ Convolutional Neural Network

    2. ​ Object Detection

    3. ​ Image Segmentation

    4. ​ Weak Supervision § Semi-Supervised Learning