TwoStageDetector类定义在\mmdet\models\detectors\tew_stage.py中: importtorchimporttorch.nn as nn#from mmdet.core import bbox2result, bbox2roi, build_assigner, build_samplerfrom..builderimportDETECTORS, build_backbone, build_head, build_neckfrom.baseimportBaseDetector @DETECTORS.register_module()clas...
Two-Stage Detector首先使用区域建议网络(RPN)生成粗糙的区域建议框,然后使用一个专用的检测头对它们进行分类和回归。 Fast-RCNN使用2个连接层作为RoI头部。 Cascade-RCNN使用FasterRCNN的3个级联阶段,每个阶段都有不同的正阈值,以便后期更多地关注定位精度。HTC利用额外的实例和语义分割标注来增强Cascade-RCNN的级间...
相比之下,One stage detection模型的anchor会产生大量的负样本,虽然也可以应用Hard negative mining 方法,但由于训练过程仍然容易被背景样本所主导,因此对于One stage detection模型训练来说,这种方法效率低下。 总结 总的来说,以SSD为代表的one stage detection,在有限的资源case中能获得更好的性能,而 two stage dete...
目前的two-stage目标检测算法都有相似的特性,一个复杂的head连接着主干网络,而Faster R-CNN的全连接层和R-FCN的score map都是相当耗时的。因此,论文提出基于light-head的思路来设计快速且准确的two-stage detector,核心思想是通过large-kernel separable convolkution来产生特征表达能力很强的精简特征图,特征图的...
Compared with original models, the two-stage detectors equipped with Gaussian region proposal achieve a better performance with the mAP increased by 0.20. We also design and train a light-weight detector based on our method, which is much faster and more suitable for mobile and embedded device ...
In this paper, we propose a detector, AccLoc, that combines the advantages of anchor-free detectors and two-stage detectors to extract more effective and sensitive features for accurate object localization. AccLoc mainly consists of a proposal generation module and a proposal refinement module. Conc...
针对YOLO和Faster R-CNN的各自不足与优势,WeiLiu等人提出了Single Shot MultiBox Detector,简称为SSD。SSD整个网络采取了one stage的思想,以此提高检测速度。并且网络中融入了Faster R-CNN中的anchors思想,并且做了特征分层提取并依次计算边框回归和分类操作,由此可以适应多种尺度目标的训练和检测任务。
A new two-stage nonlinear detector for synchronous DS/SSMA communications in impulsive channels is presented and analysed. In the detector, an interference cancellation scheme is used such that the effect of the multiple-access interference on the system performance can be alleviated. For a multiuser...
本文是旷视科技和清华大学的联合作品。论文针对two-stage的目标检测框架中,回归坐标和分类的子网络进行优化,主要结合Faster RCNN和RFCN两个网络有点,同时提出自己的改进,最终在Accuracy和Speed上都取得了state-of-the-art的表现。 1.Introduction 一般来说Two-Stage的检测框架,第一步是产生足够多的候选框,作者称之为...
实现常用的one-stage和two-stage目标检测网络 华为媒体研究院 图文Caption、OCR识别、图视文多模态理解与生成相关方向工作或实习欢迎咨询 15757172165 https://guanfuchen.github.io/media/hw_zhaopin_20220724_tiny.jpg - guanfuchen/objdet