1. You always look again: Learning to detect the unseen objects.
- Author
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Nguyen, Khanh-Duy, Nguyen, Khang, Le, Duy-Dinh, Duong, Duc Anh, and Nguyen, Tam V.
- Subjects
- *
DEEP learning , *COMPUTER vision , *AUTONOMOUS vehicles , *ROBOTICS - Abstract
Abstract Object detection has always attracted a lot of attention in computer vision due to its practical applications, i.e. , robotics engineering, autonomous vehicles, and surveillance systems. Recently deep learning approaches have successfully improved the performance of object detection by a significant amount. However, there exist many challenging objects in the images that state-of-the-art approaches still fail to detect. In this paper, we propose an efficient approach that intentionally learns to detect the unseen (missing) objects. In particular, we utilize a dual-level of deep networks to efficiently detect difficult objects in images. The extensive experiments on three benchmarking datasets, PASCAL VOC, KITTI, and MS-COCO, show the superiority of our approach over the state-of-the-art methods. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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