| Microsoft coco: Common objects in context TY Lin, M Maire, S Belongie, J Hays, P Perona, D Ramanan, P Dollár, ... Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 33849 | 2014 |
| Focal loss for dense object detection TY Lin, P Goyal, R Girshick, K He, P Dollár Proceedings of the IEEE international conference on computer vision, 2980-2988, 2017 | 19814 | 2017 |
| Feature pyramid networks for object detection TY Lin, P Dollár, R Girshick, K He, B Hariharan, S Belongie Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 17877 | 2017 |
| Microsoft coco captions: Data collection and evaluation server X Chen, H Fang, TY Lin, R Vedantam, S Gupta, P Dollár, CL Zitnick arXiv preprint arXiv:1504.00325, 2015 | 1694 | 2015 |
| Class-balanced loss based on effective number of samples Y Cui, M Jia, TY Lin, Y Song, S Belongie Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1451 | 2019 |
| Nas-fpn: Learning scalable feature pyramid architecture for object detection G Ghiasi, TY Lin, QV Le Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1147 | 2019 |
| Learning to refine object segments PO Pinheiro, TY Lin, R Collobert, P Dollár Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 985 | 2016 |
| Dropblock: A regularization method for convolutional networks G Ghiasi, TY Lin, QV Le Advances in neural information processing systems 31, 2018 | 839 | 2018 |
| Bottleneck transformers for visual recognition A Srinivas, TY Lin, N Parmar, J Shlens, P Abbeel, A Vaswani Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 572 | 2021 |
| Simple copy-paste is a strong data augmentation method for instance segmentation G Ghiasi, Y Cui, A Srinivas, R Qian, TY Lin, ED Cubuk, QV Le, B Zoph Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 474 | 2021 |
| Collaborative metric learning CK Hsieh, L Yang, Y Cui, TY Lin, S Belongie, D Estrin Proceedings of the 26th international conference on world wide web, 193-201, 2017 | 468 | 2017 |
| Rethinking pre-training and self-training B Zoph, G Ghiasi, TY Lin, Y Cui, H Liu, ED Cubuk, Q Le Advances in neural information processing systems 33, 3833-3845, 2020 | 450 | 2020 |
| Learning data augmentation strategies for object detection B Zoph, ED Cubuk, G Ghiasi, TY Lin, J Shlens, QV Le Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 416 | 2020 |
| Learning Deep Representations for Ground-to-Aerial Geolocalization TY Lin, Y Cui, S Belongie, J Hays Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 347 | 2015 |
| A multipath network for object detection S Zagoruyko, A Lerer, TY Lin, PO Pinheiro, S Gross, S Chintala, P Dollár arXiv preprint arXiv:1604.02135, 2016 | 266 | 2016 |
| Cross-view image geolocalization TY Lin, S Belongie, J Hays Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 216 | 2013 |
| Open-vocabulary Object Detection via Vision and Language Knowledge Distillation X Gu, TY Lin, W Kuo, Y Cui arXiv preprint arXiv:2104.13921, 2021 | 208 | 2021 |
| Revisiting ResNets: Improved Training and Scaling Strategies I Bello, LB Fedus, X Du, ED Cubuk, A Srinivas, TY Lin, J Shlens, BR Zoph | 174 | 2021 |
| Spinenet: Learning scale-permuted backbone for recognition and localization X Du, TY Lin, P Jin, G Ghiasi, M Tan, Y Cui, QV Le, X Song Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 169 | 2020 |
| inerf: Inverting neural radiance fields for pose estimation L Yen-Chen, P Florence, JT Barron, A Rodriguez, P Isola, TY Lin 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 137 | 2021 |
Serge BelongieUniversity of Copenhagen在 di.ku.dk 的电子邮件经过验证
