Ensemble of Deep Object Detectors for Page Object Detection
Ensemble of Deep Object Detectors for Page Object Detection
复制标题
用于页面对象检测的深度对象检测器集合
DOI：
10.1145/3164541.3164644
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Khang Nguyen
中科院分区：
文献类型：
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作者：
Nguyen D. Vo;Khanh;Tam V. Nguyen;Khang Nguyen
文档图像理解（DIU）是将文档图像的所有信息内容数字化转换为电子格式并推出其合理内容的过程。我们首先评估了POD数据集上不同的最先进的对象检测方法（Fast R-CNN和Faster R-CNN）。我们观察到每种检测方法对某些对象都很敏感。因此，我们建议将Fast RCNN和Faster RCNN的检测结合起来，以利用这两种模型的优势。通过大量的实验，我们提出的方法在mAP方面从81.35%（更快的R-CNN VGG_CNN_M_1024）显著提高到86.49%。
Document Imaging Understanding (DIU) is the process of converting all of the information content of a document image digital into an electronic format launched its reasonable content. We first evaluate different state-of-the-art object detection methods (Fast R-CNN and Faster R-CNN) for the task on POD dataset. We observe that each detection method is sensitive to certain objects. Therefore, we propose combining the detections of Fast RCNN and Faster RCNN in order to exploit the advantages of the two models. Through the extensive experiments, our proposed method significantly improves from 81.35% (Faster R-CNN VGG_CNN_M_1024) to 86.49% in terms of the mAP.