论文标题:Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks 标题翻译:基于区域提议(Region Proposal)网络的实时目标检测 论文作者:Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun 论文地址:https://arxiv.org/abs/1506.01497 Faster RCNN 的GitHub地址:https://gith…
论文标题:Faster R-CNN: Down the rabbit hole of modern object detection 论文作者:Zhi Tian , Weilin Huang, Tong He , Pan He , and Yu Qiao 论文地址:https://tryolabs.com/blog/2018/01/18/faster-r-cnn-down-the-rabbit-hole-of-modern-object-detection/ 论文地址:Object detect…
论文标题:Detecting Text in Natural Image with Connectionist Text Proposal Network 论文作者:Zhi Tian , Weilin Huang, Tong He , Pan He , and Yu Qiao 论文源代码的下载地址:https://github.com/tianzhi0549/CTPN 论文代码的下载地址:https://github.com/eragonruan/text-detection-ctpn 论文地址…
R-CNN论文翻译 Rich feature hierarchies for accurate object detection and semantic segmentation 用于精确物体定位和语义分割的丰富特征层次结构 2017-11-29 摘要 过去几年,在权威数据集PASCAL上,物体检测的效果已经达到一个稳定水平.效果最好的方法是融合了多种图像低维特征和高维上下文环境的复杂结合系统.在这篇论文里,我们提出了一种简单并且可扩展的检测算法,可以将mAP在VOC2012最…
论文标题:An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition 论文作者: Baoguang Shi, Xiang Bai and Cong Yao 论文代码的下载地址:http://mc.eistar.net/~xbai/CRNN/crnn_code.zip 论文地址:https://arxiv.org/p…
R-CNN论文翻译 <Rich feature hierarchies for accurate object detection and semantic segmentation> 用于精确物体定位和语义分割的丰富特征层次结构 文章出处:https://www.cnblogs.com/pengsky2016/. 摘要: 过去几年,在权威数据集PASCAL上,物体检测的效果已经达到一个稳定水平.效果最好的方法是融合了多种图像低维特征和高维上下文环境的复杂结合系统.在这篇论文里…
