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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.

S. Ren, K. He, R. Girshick, и J. Sun. CoRR, (2015)

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A Decade's Battle on Dataset Bias: Are We There Yet?Z. Liu, и K. He. CoRR, (2024)Exploring Simple Siamese Representation Learning.X. Chen, и K. He. CVPR, стр. 15750-15758. Computer Vision Foundation / IEEE, (2021)Panoptic Feature Pyramid Networks.A. Kirillov, R. Girshick, K. He, и P. Dollár. CVPR, стр. 6399-6408. Computer Vision Foundation / IEEE, (2019)Focal Loss for Dense Object Detection.T. Lin, P. Goyal, R. Girshick, K. He, и P. Dollár. IEEE Trans. Pattern Anal. Mach. Intell., 42 (2): 318-327 (2020)POI recommendation based on a multiple bipartite graph network model.C. Lang, Z. Wang, K. He, и S. Sun. J. Supercomput., 78 (7): 9782-9816 (2022)Momentum Contrast for Unsupervised Visual Representation LearningK. He, H. Fan, Y. Wu, S. Xie, и R. Girshick. (2019)cite arxiv:1911.05722Comment: CVPR 2020 camera-ready. Code: https://github.com/facebookresearch/moco.Group Normalization.Y. Wu, и K. He. ECCV (13), том 11217 из Lecture Notes in Computer Science, стр. 3-19. Springer, (2018)An Empirical Study of Training Self-Supervised Vision Transformers.X. Chen, S. Xie, и K. He. ICCV, стр. 9620-9629. IEEE, (2021)Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks.S. Ren, K. He, R. Girshick, и J. Sun. IEEE Trans. Pattern Anal. Mach. Intell., 39 (6): 1137-1149 (2017)Fast Guided Filter.K. He, и J. Sun. CoRR, (2015)