第一步：先提取物体区域；第二步：再对区域进行CNN分类识别；因此，“两阶段”又称基于候选区域（Region...
An obvious way to accelerate proposal computation is to re-implement it for the GPU. This may be an effective engineering solution, but re-implementation ignores thedown-streamdetection network and therefore misses important opportunities for sharing computation. 算法层面上的做法就是复用region-based de...
两阶段模型(two-stage detection)因其对图片的两阶段处理得名,也称为基于区域(Region-based)的方法,R-CNN系列工作就是这一类型的代表。单阶段模型(one-stage detection)没有中间的区域检出过程,直接从图片获得预测结果,也被称为Region-free方法。 本文回顾目标检测中必备的TOP模型,包括one-stage模型和two-stage模型...
两阶段模型(two-stage detection)因其对图片的两阶段处理得名,也称为基于区域(Region-based)的方法,R-CNN系列工作就是这一类型的代表。单阶段模型(one-stage detection)没有中间的区域检出过程,直接从图片获得预测结果,也被称为Region-free方法。 本文回顾目标检测中必备的TOP模型,包括one-stage模型和two-stage模型...
Object Detection 一般分为两大部分 第一部分(Two-stage Detectors):R-CNN、Fast R-CNN、 Faster R-CNN、R-FCN 第二部分(One-stage Detectors) :YOLO、ssd 一、Two-stage Detectors (一)、R-CNN (Regions with CNN) 原文:https://arxiv.org/abs... ...
One may note that fast region-based CNNs take advantage of GPUs, while the region proposal methods used in research are implemented on the CPU, making such runtime comparisons inequitable. An obvious way to accelerate proposal computation is to re-implement it for the GPU. This may be an ...
In recent years, convolutional neural network (CNN)-based object detection algorithms have made breakthroughs, and much of the research corresponds to hardware accelerator designs. Although many previous works have proposed efficient FPGA designs for one-stage detectors such as Yolo, there are still ...
FCOS: Fully Convolutional One-Stage Object Detection 取fullyz convolutional这样的名字是说明这个真的全是卷积,没有像其他一样还要计算anchor和目标box的iou等。 center-based的anchor-free的目标检测方法,中文也就是基于中心的不需要anchor的目标检测方法。
可以看到作者是同一波人,这两篇论文的核心出发点也是一样的。Sparse R-CNN是Sparse Two-stage Detector,OneNet是Sparse One-stage Detector,它两最大的特点是anchors/proposals的稀疏性,网络输出即是最后的检测结果,而无需NMS。 Sparse R-CNN 作者将检测模型分为三类:dense detectors、dense-to-sparse detectors和spa...
以往的网络框架都离不开anchor boxes,本实验在所有one-stage detectors中用MS COCO 数据集上表现出了最好的效果。 问题or...猜你喜欢ECCV 2018 目标检测 | IoU-Net:将IoU的作用发挥到极致 常见的目标检测算法缺少了定位效果的学习,IoU-Net提出IoU predictor、IoU-guided NMS和Optimization-based bounding box ...