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The 1st Tiny Object Detection Challenge: Methods and Results.

, , , , , , , , , , , , , , , , , , , , , , , , and . ECCV Workshops (5), volume 12539 of Lecture Notes in Computer Science, page 315-323. Springer, (2020)

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A scalable convolutional neural network for task-specified scenarios via knowledge distillation., , , , and . CoRR, (2016)CRNet: Collaborative Refinement Network for Self-Supervised Video Object Segmentation., , , , , and . MIPR, page 172-177. IEEE, (2022)End-to-End Weakly Supervised Object Detection with Sparse Proposal Evolution., , , , , , , , and . ECCV (9), volume 13669 of Lecture Notes in Computer Science, page 210-226. Springer, (2022)SM+: Refined Scale Match for Tiny Person Detection., , , , and . ICASSP, page 1815-1819. IEEE, (2021)A scalable convolutional neural network for task-specified scenarios via knowledge distillation., , , , and . ICASSP, page 2467-2471. IEEE, (2017)Online feature evaluation for object tracking using Kalman Filter., , and . ICPR, page 1-4. IEEE Computer Society, (2008)Effective Fusion Factor in FPN for Tiny Object Detection., , , , , and . WACV, page 1159-1167. IEEE, (2021)Visual object tracking via sparse reconstruction., , , and . ICIMCS, page 151-154. ACM, (2010)A bottom-up summarization algorithm for videos in the wild., , , , , and . EURASIP J. Adv. Signal Process., (2019)Impostor Resilient Multimodal Metric Learning for Person Reidentification., , , and . Adv. Multim., (2018)