1. Ahn, J., & Kwak, S. (2018). Learning pixel-level semantic affinity with image-level supervision for weakly supervised semantic segmentation. In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 4981–4990.
2. Alexey, D., Fischer, P., Tobias, J., Springenberg, M.R., & Brox, T. (2015). Discriminative unsupervised feature learning with exemplar convolutional neural networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(9), 1734–1747
3. Ali, A., Touvron, H., Caron, M., Bojanowski, P., Douze, M., Joulin, A., Laptev, I., Neverova, N., Synnaeve, G., Verbeek, J., et al. (2021). Xcit: Cross-covariance image transformers. Advances in Neural Information Processing Systems, 34, 20014–20027.
4. Alonso, I., Sabater, A., Ferstl, D., Montesano, L., & Murillo, A.C.(2021). Semi-supervised semantic segmentation with pixel-level contrastive learning from a class-wise memory bank. In Proceedings of the IEEE/CVF international conference on computer vision, pp. 8219–8228.
5. Barber, D., & Agakov, F.(2005). Kernelized infomax clustering. In Advances in neural information processing systems, pp. 17–24.