1. Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko. 2020. End-to-end Object Detection with Transformers. In European Conference on Computer Vision. Springer, 213--229.
2. Jonathan Frankle and Michael Carbin. 2018. The Lottery Ticket Hypothesis: Finding sparse, Trainable Neural Networks. arXiv preprint arXiv:1803.03635 (2018).
3. Deep Residual Learning for Image Recognition
4. Geoffrey Hinton, Oriol Vinyals, and Jeff Dean. 2015. Distilling the Knowledge in a Neural Network. arXiv preprint arXiv:1503.02531 (2015).
5. Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan L Yuille, and Li Fei-Fei. 2019. Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. California, United States, 82--92.