Ghostnet: More features from cheap operations K Han, Y Wang, Q Tian, J Guo, C Xu, C Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 2891 | 2020 |
A survey on vision transformer K Han, Y Wang, H Chen, X Chen, J Guo, Z Liu, Y Tang, A Xiao, C Xu, ... IEEE transactions on pattern analysis and machine intelligence 45 (1), 87-110, 2022 | 1952* | 2022 |
Pre-trained image processing transformer H Chen, Y Wang, T Guo, C Xu, Y Deng, Z Liu, S Ma, C Xu, C Xu, W Gao CVPR, 12299-12310, 2021 | 1661 | 2021 |
Transformer in transformer K Han, A Xiao, E Wu, J Guo, C Xu, Y Wang Advances in neural information processing systems 34, 15908-15919, 2021 | 1427 | 2021 |
Cmt: Convolutional neural networks meet vision transformers J Guo, K Han, H Wu, Y Tang, X Chen, Y Wang, C Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 601 | 2022 |
Data-Free Learning of Student Networks H Chen, Y Wang, C Xu, Z Yang, C Liu, B Shi, C Xu, C Xu, Q Tian ICCV, 3514-3522, 2019 | 374 | 2019 |
CARS: Continuous Evolution for Efficient Neural Architecture Search Z Yang, Y Wang, X Chen, B Shi, C Xu, C Xu, Q Tian, C Xu CVPR, 1829-1838, 2020 | 267 | 2020 |
Vision gnn: An image is worth graph of nodes K Han, Y Wang, J Guo, Y Tang, E Wu Advances in neural information processing systems 35, 8291-8303, 2022 | 247 | 2022 |
Post-training quantization for vision transformer Z Liu, Y Wang, K Han, W Zhang, S Ma, W Gao Advances in Neural Information Processing Systems 34, 28092-28103, 2021 | 239 | 2021 |
AdderNet: Do we really need multiplications in deep learning? H Chen, Y Wang, C Xu, B Shi, C Xu, Q Tian, C Xu CVPR, 1468-1477, 2020 | 233 | 2020 |
CNNpack: packing convolutional neural networks in the frequency domain Y Wang, C Xu, S You, D Tao, C Xu NeurIPS, 253-261, 2016 | 208 | 2016 |
Distilling object detectors via decoupled features J Guo, K Han, Y Wang, H Wu, X Chen, C Xu, C Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 204 | 2021 |
Autoencoder Inspired Unsupervised Feature Selection K Han, Y Wang, C Zhang, C Li, C Xu IEEE ICASSP, 2941-2945, 2018 | 193 | 2018 |
Scop: Scientific control for reliable neural network pruning Y Tang, Y Wang, Y Xu, D Tao, C Xu, C Xu, C Xu Advances in Neural Information Processing Systems 33, 10936-10947, 2020 | 168 | 2020 |
GhostNetv2: Enhance cheap operation with long-range attention Y Tang, K Han, J Guo, C Xu, C Xu, Y Wang Advances in Neural Information Processing Systems 35, 9969-9982, 2022 | 160 | 2022 |
Patch slimming for efficient vision transformers Y Tang, K Han, Y Wang, C Xu, J Guo, C Xu, D Tao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 151 | 2022 |
Efficient residual dense block search for image super-resolution D Song, C Xu, X Jia, Y Chen, C Xu, Y Wang AAAI, 2020, 2020 | 140 | 2020 |
Multimodal token fusion for vision transformers Y Wang, X Chen, L Cao, W Huang, F Sun, Y Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 120 | 2022 |
Hit-Detector: Hierarchical trinity architecture search for object detection J Guo, K Han, Y Wang, C Zhang, Z Yang, H Wu, X Chen, C Xu CVPR, 11405-11414, 2020 | 116 | 2020 |
Manifold regularized dynamic network pruning Y Tang, Y Wang, Y Xu, Y Deng, C Xu, D Tao, C Xu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 110 | 2021 |