目标检测相比分类任务更复杂,其面临的一个主要问题在于一张图片中可能存在许多位置不定的物体,而且模型会输出很多预测结果,要计算损失函数就需要匹配真实框(ground-truth bounding box)与预测框。 这里我们主要关注one-stage目标检测算法(也称one-shot object detectors),其特点是一步到位,速度相对较快。另外一类目标检...
Besides, low computation cost of the proposed (codebook-free) object detector facilitates rather straightforward query detection in large data sets including movie videos. 展开 关键词: Fast Detection Fourier transform Graph based dimensionality reduction One shot object detection fast detection fourier ...
这篇论文发布的时间是2017年1月23号。DSSD(Deconvolutional Single Shot Detector),听名字就知道了,是SSD的升级版本,而且其实就是SSD + FPN的结合体,但是很奇怪,为啥你还在别人FPN后面发布呢? 2.1 和SSD的差别 下图是SSD和DSSD的网络架构示意图。 SSD和DSSD在前面特征抽取层的backbone都是一样的,差别在于后面推理...
首先用数学语言对该任务进行描述,然后提出了一个方法来解决ZSI的问题。新方法包括零样本检测器(Zero-shot Detector)、Semantic Mask Head、Backgro Aware RPN和Synchronized Background Strategy。实验结果表明,提出的方法不仅在ZSI的任务上效果不错,在零样本检测任务上也取得了比之前已有研究更好的表现。 亮点:(部分采用...
CC2D-TPL further improves the performance by training a new landmark detector with those predictions. The effectiveness of CC2D is evaluated on a widely-used public dataset of cephalometric landmark detection, which achieves a competitive detection accuracy of 81.01\% within 4.0mm, comparable to ...
The resulting model is therefore a two-stage detector that yields a strong baseline on both VOC and MS-COCO under one-shot setting of detecting objects from both seen and never-seen classes. Codes are available at https://github.com/timy90022/One-Shot-Object-Detection.Ting-I Hsieh...
In this study 1 we derive the general form of an optimal one-shot multiuser detector given any density for the users' amplitudes. It is shown that well-known multiuser receivers such as the maximum likelihood detector, the decorrelating detector and even the MMSE detector are special cases of...
3. FSSD: Feature Fusion Single Shot Multibox Detector(FSSD: 基于特征融合和单次学习的多框检测器) 作者:Zuoxin Li,Fuqiang Zhou 摘要:SSD (Single Shot Multibox Detetor) is one of the best object detection algorithms with both high accuracy and fast speed. However, SSD's feature pyramid detectio...
The focus is on the use of a multistage detector with a one-shot decorrelating detector as a first stage. The bit error probability formula is presented in a new form in order to simplify computation of numerical examples. The performance is compared with better known detectors for the first...
pythoniotmachine-learningtensorflowcnnartificial-intelligenceconvolutional-neural-networksone-shot-learninghotword-detectionsiamese-networksiamese-neural-networkhotword-detectorwakewordhotword UpdatedSep 12, 2024 Jupyter Notebook Matching Networks for one shot learning ...