Expandnets: Linear over-parameterization to train compact convolutional networks S Guo, JM Alvarez, M Salzmann
Advances in Neural Information Processing Systems 33, 1298-1310, 2020
93 2020 Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions S Guo, Y Hu, JM Alvarez, M Salzmann
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
14 2023 Distilling Image Classifiers in Object Detectors S Guo, JM Alvarez, M Salzmann
Advances in Neural Information Processing Systems 34, 1036-1047, 2021
11 2021 A semi-automatic solution archive for cross-cut shredded text documents reconstruction S Guo, S Lao, J Guo, H Xiang
Image and Graphics: 8th International Conference, ICIG 2015, Tianjin, China …, 2015
8 2015 An attention model based on spatial transformers for scene recognition S Guo, L Liu, W Wang, S Lao, L Wang
2016 23rd International Conference on Pattern Recognition (ICPR), 3757-3762, 2016
4 2016 DARTS Once More: Enhancing Differentiable Architecture Search by Masked Image ModelingB Guo, S Guo, M Shi, P Chen, S He, J Chen, K Yu
arXiv preprint arXiv:2211.10105, 2022
1 2022 Knowledge Distillation for 6D Pose Estimation by Keypoint Distribution Alignment S Guo, Y Hu, JM Alvarez, M Salzmann
arXiv preprint arXiv:2205.14971, 2022
2022 Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions-Supplementary Material S Guo, Y Hu, JM Alvarez, M Salzmann