Object detection and viewpoint estimation with auto-masking neural network
文献类型：会议论文
| 作者 | Yang Linjie; Liu Jianzhuang; Tang Xiaoou |
| 出版日期 | 2014 |
| 会议名称 | 13th European Conference on Computer Vision, ECCV 2014 |
| 会议地点 | Zurich, Switzerland |
| 英文摘要 | Simultaneously detecting an object and determining its pose has become a popular research topic in recent years. Due to the large variances of the object appearance in images, it is critical to capture the discriminative object parts that can provide key information about the object pose. Recent part-based models have obtained state-of-the-art results for this task. However, such models either require manually defined object parts with heavy supervision or a complicated algorithm to find discriminative object parts. In this study, we have designed a novel deep architecture, called Auto-masking Neural Network (ANN), for object detection and viewpoint estimation. ANN can automatically learn to select the most discriminative object parts across different viewpoints from training images. We also propose a method of accurate continuous viewpoint estimation based on the output of ANN. Experimental results on related datasets show that ANN outperforms previous methods. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/5518]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2014 |
| 推荐引用方式 GB/T 7714 | Yang Linjie,Liu Jianzhuang,Tang Xiaoou. Object detection and viewpoint estimation with auto-masking neural network[C]. 见:13th European Conference on Computer Vision, ECCV 2014. Zurich, Switzerland. |
入库方式： OAI收割
来源：深圳先进技术研究院
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