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Jiangtao Xie
Jiangtao Xie
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Title
Cited by
Cited by
Year
Global second-order pooling convolutional networks
Z Gao, J Xie, Q Wang, P Li
Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2019
3952019
Towards faster training of global covariance pooling networks by iterative matrix square root normalization
P Li, J Xie, Q Wang, Z Gao
Proceedings of the IEEE conference on computer vision and pattern …, 2018
3132018
Is second-order information helpful for large-scale visual recognition?
P Li, J Xie, Q Wang, W Zuo
Proceedings of the IEEE international conference on computer vision, 2070-2078, 2017
2952017
Joint distribution matters: Deep brownian distance covariance for few-shot classification
J Xie, F Long, J Lv, Q Wang, P Li
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
1242022
Deep CNNs meet global covariance pooling: Better representation and generalization
Q Wang, J Xie, W Zuo, L Zhang, P Li
IEEE transactions on pattern analysis and machine intelligence 43 (8), 2582-2597, 2020
1002020
Binocular mutual learning for improving few-shot classification
Z Zhou, X Qiu, J Xie, J Wu, C Zhang
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
702021
Deep convolutional features for iris recognition
X Tang, J Xie, P Li
Chinese conference on biometric recognition, 391-400, 2017
242017
So-vit: Mind visual tokens for vision transformer
J Xie, R Zeng, Q Wang, Z Zhou, P Li
arXiv preprint arXiv:2104.10935 2, 2021
182021
Global gated mixture of second-order pooling for improving deep convolutional neural networks
Q Wang, Z Gao, J Xie, W Zuo, P Li
Advances in neural information processing systems 31, 2018
162018
Sot: Delving deeper into classification head for transformer
J Xie, R Zeng, Q Wang, Z Zhou, P Li
arXiv preprint arXiv:2104.10935, 2021
102021
Dropcov: A simple yet effective method for improving deep architectures
Q Wang, M Gao, Z Zhang, J Xie, P Li, Q Hu
Advances in Neural Information Processing Systems 35, 33576-33588, 2022
42022
Detachable second-order pooling: Toward high-performance first-order networks
L Li, J Xie, P Li, L Zhang
IEEE Transactions on Neural Networks and Learning Systems 33 (8), 3400-3414, 2021
22021
Towards A Deeper Understanding of Global Covariance Pooling in Deep Learning: An Optimization Perspective
Q Wang, Z Zhang, M Gao, J Xie, P Zhu, P Li, W Zuo, Q Hu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
2023
Supplementary Materials for “DropCov: A Simple yet Effective Method for Improving Deep Architectures”
Q Wang, M Gao, Z Zhang, J Xie, P Li, Q Hu
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Articles 1–14