| 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 | 56398 | 2014 |
| Mask r-cnn K He, G Gkioxari, P Dollár, R Girshick Computer Vision (ICCV), 2017 IEEE International Conference on, 2980-2988, 2017 | 41215 | 2017 |
| Focal loss for dense object detection TY Lin, P Goyal, R Girshick, K He, P Dollár Conf. on Computer Vision, 2017 | 36391 | 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 | 31185 | 2017 |
| Aggregated residual transformations for deep neural networks S Xie, R Girshick, P Dollár, Z Tu, K He Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 14153 | 2017 |
| Masked autoencoders are scalable vision learners K He, X Chen, S Xie, Y Li, P Dollár, R Girshick Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 8542 | 2022 |
| Segment anything A Kirillov, E Mintun, N Ravi, H Mao, C Rolland, L Gustafson, T Xiao, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 8411 | 2023 |
| Accurate, large minibatch SG D: training imagenet in 1 hour P Goyal arXiv preprint arXiv:1706.02677, 2017 | 4299 | 2017 |
| Pedestrian detection: An evaluation of the state of the art P Dollar, C Wojek, B Schiele, P Perona IEEE transactions on pattern analysis and machine intelligence 34 (4), 743-761, 2011 | 4182 | 2011 |
| Behavior recognition via sparse spatio-temporal features P Dollár, V Rabaud, G Cottrell, S Belongie 2005 IEEE international workshop on visual surveillance and performance …, 2005 | 3568 | 2005 |
| Edge boxes: Locating object proposals from edges CL Zitnick, P Dollár Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 3557 | 2014 |
| 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 | 2865 | 2015 |
| Fast feature pyramids for object detection P Dollár, R Appel, S Belongie, P Perona IEEE transactions on pattern analysis and machine intelligence 36 (8), 1532-1545, 2014 | 2486 | 2014 |
| The llama 3 herd of models A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ... arXiv preprint arXiv:2407.21783, 2024 | 2312 | 2024 |
| Designing network design spaces I Radosavovic, RP Kosaraju, R Girshick, K He, P Dollár Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 2112 | 2020 |
| Pedestrian detection: A benchmark P Dollár, C Wojek, B Schiele, P Perona 2009 IEEE conference on computer vision and pattern recognition, 304-311, 2009 | 1946 | 2009 |
| Panoptic segmentation A Kirillov, K He, R Girshick, C Rother, P Dollár Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1878 | 2019 |
| Fleet D Pajdla T Schiele B Tuytelaars T et al TY Lin, M Maire, S Belongie, J Hays, P Perona, D Ramanan, P Dollár, ... Microsoft COCO: common objects in context Computer Vision–ECCV 2014, 2014 | 1826 | 2014 |
| From captions to visual concepts and back H Fang, S Gupta, F Iandola, RK Srivastava, L Deng, P Dollár, J Gao, X He, ... Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 1703 | 2015 |
| Integral channel features. P Dollár, Z Tu, P Perona, SJ Belongie Bmvc 2 (3), 5, 2009 | 1699 | 2009 |
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