Shanghai Sunland Industrial Co., Ltd is the top manufacturer of Personal Protect Equipment in China, with 20 years’experience. We are the Chinese government appointed manufacturer for government power,personal protection equipment , medical instruments,construction industry, etc. All the products get the CE, ANSI and related Industry Certificates. All our safety helmets use the top-quality raw material without any recycling material.
Solutions to meet different needs
We provide exclusive customization of the products logo, using advanced printing technology and technology, not suitable for fading, solid and firm, scratch-proof and anti-smashing, and suitable for various scenes such as construction, mining, warehouse, inspection, etc. Our goal is to satisfy your needs. Demand, do your best.
Highly specialized team and products
Professional team work and production line which can make nice quality in short time.
We trade with an open mind
24 / 7 guaranteed service
The professional team provides 24 * 7 after-sales service for you, which can help you solve any problems
Mask R-CNN - SlideShare
Mask R-CNN, 1. ,Mask R-CNN, ICCV 2017(Oral) Kaiming He Georgia Gkioxari Piotr Dollár Ross Girshick Facebook AI Research (FAIR) Chanuk Lim KEPRI 2017.08.10 2. 1. Abstract Our approach efficiently detects objects in an image while simultaneously generating a high-quality segmentation ,mask, …Get Price Send E-mail
Face Detection and Segmentation Based on Improved Mask R-CNN
The experimental results of the well-known ,benchmark, FDDB and AFW show that the proposed G-,Mask, method achieves promising face detection ,performance, compared with Faster ,R-CNN, and the original ...Get Price Send E-mail
How to Perform Object Detection in Photographs Using Mask ...
Faster ,R-CNN, is flexible and robust to many follow-up improvements, and is the current leading framework in several ,benchmarks,. — ,Mask R-CNN,, 2018. The family of methods may be among the most effective for object detection, achieving then state-of-the-art results on computer vision ,benchmark, …Get Price Send E-mail
Error running model optimiser on Mask R-CNN Benchmark ...
Hi, I have trained (via transfer learning) a ,Mask R-CNN Benchmark,, and have converted it to ONNX successfully (via. Browse Community. Help. cancel. Turn on suggestions. Auto-suggest helps you quickly narrow down your search ...Get Price Send E-mail
Mask R-CNN | Develop Paper
Paper: ,Mask r-cnn, catalog 0. Introduction 1.Faster ,RCNN, ResNet-FPN 2.,Mask RCNN, 3.ROI Align ROI pooling & defects ROI Align 4. ,Mask, decoupling (lossfunction) 5. Code experiment 0. Introduction First of all, let the author introduce the work himself——Abstract: This paper proposes a general object instance segmentation model, which can detect + segment at […]Get Price Send E-mail
Quick intro to Instance segmentation: Mask R-CNN
Mask R-CNN,. ,Mask R-CNN, is a state-of-the-art model for instance segmentation. It extends Faster ,R-CNN,, the model used for object detection, by adding a parallel branch for predicting segmentation ,masks,. ... (FPN) along with ResNet, which results in better ,performance, in terms of both accuracy and speed.Get Price Send E-mail
OpenCV 'dnn' with NVIDIA GPUs: 1549% faster YOLO SSD and ...
10/2/2020, · ,Mask R-CNN,: 1,549% faster Instance Segmentation with OpenCV’s ‘dnn’ NVIDIA GPU module. Our final test will be to compare ,Mask R-CNN performance, using both a CPU and an NVIDIA GPU. Make sure you have used the “Downloads” section of this tutorial to download the source code and pretrained OpenCV model files.Get Price Send E-mail
CS230 Deep Learning
the Brain Tumor Image Segmentation ,Benchmark, ... ,Mask R-CNN,, an instance segmentation framework, which identifies objects at a pixel level . The input to this framework included two datasets of images. One was the slices of the brain images, with segmentations of the whole tumor, tumor core, and the enhanced tumor core.Get Price Send E-mail
Fast Vehicle and Pedestrian Detection Using Improved Mask ...
This study presents a simple and effective ,Mask R-CNN, algorithm for more rapid detection of vehicles and pedestrians. The method is of practical value for anticollision warning systems in intelligent driving. Deep neural networks with more layers have greater capacity but also have to perform more complicated calculations. To overcome this disadvantage, this study adopts a Resnet-86 network as ...Get Price Send E-mail