Feature Pyramid SSD: Outdoor Object Detection Algorithm for Blind People | |
Zhigong, Zhou1,2; Xiaosong, Lan2; Shuxiao, Li2; Chengfei, Zhu2; Hongxing, Chang2 | |
2019-12 | |
会议日期 | 2019-12 |
会议地点 | Chengdu, China |
英文摘要 | To benefit the blind by using advanced deep learning techniques, we establish a new outdoor object detection dataset, BLIND. Different from PASCAL VOC, the scales of objects in our dataset are quite various because of different distances between objects and the camera. The characteristic of the BLIND dataset requires a high ability of scale invariance for the object detector, which classical SSD isn’t adequate. We propose a novel object detector named Feature Pyramid SSD (FPSSD) focusing on BLIND, applying feature fusion strategies to classical SSD. FPSSD achieves 75.4% mean Average Precision (mAP) on BLIND, surpassing classical SSD by 1.7%. Extensive experimental results and analyses demonstrate the necessity to establish the BLIND dataset and validate the effectiveness of the proposed FPSSD object detection algorithm for the blind people. |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/44973] |
专题 | 综合信息系统研究中心_飞行器智能技术 |
通讯作者 | Hongxing, Chang |
作者单位 | 1.University of Chinese Academy of Science, Beijing 2.Institute of Automation, Chinese Academy of Sciences, Beijing |
推荐引用方式 GB/T 7714 | Zhigong, Zhou,Xiaosong, Lan,Shuxiao, Li,et al. Feature Pyramid SSD: Outdoor Object Detection Algorithm for Blind People[C]. 见:. Chengdu, China. 2019-12. |
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