Deep learning methods have achieved great successes in pedestrian detection, owing to its ability to learn discriminative features from raw pixels. However, they treat pedestria...
Visual understanding of complex urban street scenes is an enabling factor for a wide range of applications. Object detection has benefited enormously from large-scale datasets, ...
Regions-with-convolutional-neural-network (RCNN) is now a commonly employed object detection pipeline. Its main steps, i.e., proposal generation and convolutional neural network...
Much of the recent progress made in image classification research can be credited to training procedure refinements, such as changes in data augmentations and optimization metho...
Object detection is one of the most important and challenging branches of\ncomputer vision, which has been widely applied in peoples life, such as\nmonitoring security, autonomo...
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