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Focal Loss for Dense Object Detection., , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 42 (2): 318-327 (2020)Metric Learning with Adaptive Density Discrimination., , , and . ICLR (Poster), (2016)The effectiveness of MAE pre-pretraining for billion-scale pretraining., , , , , , , , , and 2 other author(s). ICCV, page 5461-5471. IEEE, (2023)Early Convolutions Help Transformers See Better., , , , , and . NeurIPS, page 30392-30400. (2021)Panoptic Feature Pyramid Networks., , , and . CVPR, page 6399-6408. Computer Vision Foundation / IEEE, (2019)Microsoft COCO: Common Objects in Context, , , , , , , and . Computer Vision -- ECCV 2014, page 740--755. Cham, Springer International Publishing, (2014)TensorMask: A Foundation for Dense Object Segmentation., , , and . ICCV, page 2061-2069. IEEE, (2019)Rethinking ImageNet Pre-Training., , and . ICCV, page 4917-4926. IEEE, (2019)Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details., , , , and . CoRR, (2021)Revisiting Weakly Supervised Pre-Training of Visual Perception Models., , , , , , , , , and . CVPR, page 794-804. IEEE, (2022)