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論文解讀《Crowd Density Estimation Using Fusion of Multi-Layer Features》T-ITS2020
時間 2020-12-30
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crowd counting paper
深度學習
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Crowd Density Estimation Using Fusion of Multi-Layer Features Xinghao Ding , Member , IEEE, Fujin He, Zhirui Lin, Y u Wang, Huimin Guo, and Y ue Huang Abstract: 人羣統計在視頻監控、交通監控、公共安全、城市規劃等諸多工作中都具有重要意義,是
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相關文章
1.
【論文淺讀】《Generating High-Quality Crowd Density Maps Using Contextual Pyramid CNNs》
2.
論文閱讀:High-Precision Depth Estimation Using Uncalibrated LiDAR and Stereo Fusion
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論文解讀《Density-Aware Multi-Task Learning for Crowd Counting》IEEE Transactions on MultiMedia2020
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7.
論文閱讀Bayesian Loss for Crowd Count Estimation with Point Supervision
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論文解讀《Almost Unsupervised Learning for Dense Crowd Counting》AAAI2019
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論文解讀《CrowdNet: A Deep Convolutional Network for Dense Crowd Counting》ACMM-MM2016
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