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An Empirical Study of Training Self-Supervised Vision Transformers.

, , and . ICCV, page 9620-9629. IEEE, (2021)

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Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition., , , and . IEEE Trans. Pattern Anal. Mach. Intell., 37 (9): 1904-1916 (2015)Deep Hough Voting for 3D Object Detection in Point Clouds., , , and . ICCV, page 9276-9285. IEEE, (2019)Designing Network Design Spaces., , , , and . CVPR, page 10425-10433. Computer Vision Foundation / IEEE, (2020)Scaling Language-Image Pre-Training via Masking., , , , and . CVPR, page 23390-23400. IEEE, (2023)Momentum Contrast for Unsupervised Visual Representation Learning., , , , and . CVPR, page 9726-9735. Computer Vision Foundation / IEEE, (2020)Masked Autoencoders Are Scalable Vision Learners., , , , , and . CVPR, page 15979-15988. IEEE, (2022)Exploring Plain Vision Transformer Backbones for Object Detection., , , and . ECCV (9), volume 13669 of Lecture Notes in Computer Science, page 280-296. Springer, (2022)Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition., , , and . ECCV (3), volume 8691 of Lecture Notes in Computer Science, page 346-361. Springer, (2014)Is Faster R-CNN Doing Well for Pedestrian Detection?, , , and . ECCV (2), volume 9906 of Lecture Notes in Computer Science, page 443-457. Springer, (2016)Instance-Aware Semantic Segmentation via Multi-task Network Cascades., , and . CVPR, page 3150-3158. IEEE Computer Society, (2016)