KGSNet: Key-Point-Guided Super-Resolution Network for Pedestrian Detection in the Wild.
IEEE Transactions on Neural Networks and Learning Systems(2021)
摘要
In real-world scenarios (i.e., in the wild), pedestrians are often far from the camera (i.e., small scale), and they often gather together and occlude with each other (i.e., heavily occluded). However, detecting these small-scale and heavily occluded pedestrians remains a challenging problem for the existing pedestrian detection methods. We argue that these problems arise because of two factors: 1...
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Feature extraction,Semantics,Object detection,Proposals,Data mining,Visualization
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