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Object Detection with Convolutional Neural Networks., , , , и . CoRR, (2019)Why Layer-Wise Learning is Hard to Scale-up and a Possible Solution via Accelerated Downsampling., , , и . ICTAI, стр. 238-243. IEEE, (2020)Multi-Resolution Fusion and Multi-scale Input Priors Based Crowd Counting., , и . ICPR, стр. 5790-5797. IEEE, (2020)Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters., , , и . WACV, стр. 1044-1048. IEEE, (2020)MDFN: Multi-Scale Deep Feature Learning Network for Object Detection., , , и . CoRR, (2019)Object Detection and Classification based on Hierarchical Semantic Features and Deep Neural Networks.. University of Kansas, Lawrence, USA, (2021)base-search.net (ftunivkansas:oai:kuscholarworks.ku.edu:1808/34305).MDCN: Multi-Scale, Deep Inception Convolutional Neural Networks for Efficient Object Detection., , , и . ICPR, стр. 2510-2515. IEEE Computer Society, (2018)Six-Channel Image Representation for Cross-Domain Object Detection., , и . ICIG (1), том 12888 из Lecture Notes in Computer Science, стр. 171-184. Springer, (2021)Traffic flow forecasting research based on Bayesian normalized Elman neural network., и . SP/SPE, стр. 426-430. IEEE, (2015)VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results., , , , , , , , , и 95 other автор(ы). ECCV Workshops (5), том 11133 из Lecture Notes in Computer Science, стр. 437-468. Springer, (2018)