[Lecture Notes in Computer Science] Computer Vision – ECCV 2016 Volume 9905 || SSD: Single Shot MultiBox Detector 目标检测是图像处理的重要领域,SSD算法是基于深度学习下对物体进行检测.首先对SSD检测算法进行了深入研究,然后使用MxNet框架对SSD算法进行了实验,并对训练过程mAP值以... B Leibe,J Matas,N...
(Inception V3-feature fusion single shot-multibox detector,IFSSD).该检测器以特征融合单发多盒探测器(Feature fusion single shot-multibox detector,FSSD)为... 肖德琴,蔡家豪,林思聪,... - 《农业机械学报》 被引量: 0发表: 2020年 Fall Action Recognition Based on Deep Learning this paper proposed an...
and the safety and security of people's daily travel are paid more and more attention.It's worthy to detect vehicles and pedestrians by using deep learning algorithm.In this paper,a method using the Single Shot Multi Box Detector to detect vehicles and pedestrians is introduced and compared ...
CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox Detector Due to the success of Bidirectional Encoder Representations from Transformers (BERT) in natural language process (NLP), the multi-head attention transforme... W Jin,H Yu,H Yu 被引量: 0发表: 2021年 ...
Firstly, we adopt real-time SSD (Single Shot MultiBox Detector) convolutional neural networks to regress and classify detection boxes in each video frame potentially containing an action of interest. Secondly, we design an original and efficient online algorithm to incrementally construct and label `...
Our approach, named Oriented_SSD (Single Shot MultiBox Detector, SSD), uses a set of default boxes with various scales on each feature map location to produce detection bounding boxes. Meanwhile, offsets are predicted for each default box to better match the object shape, which contain the ...
[Lecture Notes in Computer Science] Computer Vision – ECCV 2016 Volume 9905 || SSD: Single Shot MultiBox Detector 目标检测是图像处理的重要领域,SSD算法是基于深度学习下对物体进行检测.首先对SSD检测算法进行了深入研究,然后使用MxNet框架对SSD算法进行了实验,并对训练过程mAP值以... B Leibe,J Matas,N...
摘要: recent years, deep learning has made great strides in automatic feature extraction through learning. Our target is to operate computers to analyze honeybee behavior and facilitate comput...关键词:Deep learning Single shot multibox detector VGG16 Annotation ...
In this paper, we proposed FRFB Net (Integrate Receptive Field Block Feature into Fusion Net for Single Shot Multibox Detector), an enhanced FSSD with a RFB module,which not only fully utilize the pyramidal features, but also change the RFs of the fused feature map. To make the model ...
The scoreboard detection is performed with a Single-Shot MultiBox Detector. The event classification employs the majority vote and time frame technique. The experimental results show an accuracy rate of 1.00 with the expected event scoreboards, comprised of Goal, Substitution, and Card events. 展开...