引用: Girshick, Ross, et al. "Rich feature hierarchies for accurate object detection and semantic segmentation." Proceedings of the IEEE conference on computer vision and pattern recognition. 2014. 引用次数:2027(Google Scholar, By 2016/11/23). 项目地址:https://github.com/rbgirshick/rcnn(基于MA...
由于将 RoI 坐标从输入图像空间映射到图像 feature map 空间,以及将 RoI 划分规则单元格时,存在严格的舍入操作(harsh rounding operations),导致 RoI 和提取的特征间的不对齐.[ This quantization, however, causes misalignments between the RoI and the extracted features due to the harsh rounding operations whe...
New coverage of unsupervised deep learning using mutual information, object detection, and semantic segmentation Completely updated for TensorFlow 2.x Book Description Advanced Deep Learning with TensorFlow 2 and Keras, Second Edition is a completely updated edition of the bestselling guide to the advanc...
pigmentation, as well as of normal and small pupils. An average error of 7% on OD center positioning is reached with no false detection. In addition, a confidence is associated to the final detection that indicates the level of difficulty the detector has to identify the OD position and ...
segmentation. We extensively evaluated our algorithm using traditional salient object detection datasets, as well as a more challenging Internet image dataset. Our experimental results demonstrate that our algorithm consistently outperforms 15 existing salient object detection and segmentation methods, yielding...
github:https://github.com/sermanet/OverFeat code:http://cilvr.nyu.edu/doku.php?id=software:overfeat:start R-CNN Rich feature hierarchies for accurate object detection and semantic segmentation intro: R-CNN arxiv:http://arxiv.org/abs/1311.2524 ...
This repo privdes a simple algorithm, Dense Adversary Generation (DAG), to find adversarial examples for semantic segmentation and object detection (https://arxiv.org/abs/1703.08603). An adversarial example which let both the detection network and the segmentation network fail is shown below:Code...
PaddleDetection provides rich of models, including 100+ pre-trained models such as object detection, instance segmentation, face detection etc. It covers the champion models, the practical detection models for cloud and edge device. Production Ready: Key operations are implemented in C++ and CUDA, ...
Mask R-CNN for Object Detection and Segmentation This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. The model generates bounding boxes and segmentation masks for each instance of an object in the image. It's based on Feature Pyramid Network (FPN) and a ResNet101...
Detection with Enriched Semantics(DES)主要是基于SSD做改进,也是为了解决SSD中对于小目标物体的检测效果不好的问题,因为SSD算法对小目标的检测只是利用了浅层的特征,并没有用到高层的语义特征。因此这篇文章的出发点就是为了增加用于检测的feature map的语义信息,主要的措施包括:1、引入segmentation module用于得到atte...