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Home > Price of protective clothing for pneumonia virus

Price of protective clothing for pneumonia virus

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.

Why choose us

Solutions to meet different needs

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

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

We trade with an open mind

We abide by the privacy policy and human rights, follow the business order, do our utmost to provide you with a fair and secure trading environment, and look forward to your customers coming to cooperate with us, openly mind and trade with customers, promote common development, and work together for a win-win situation.

24 / 7 guaranteed service

24 / 7 guaranteed service

The professional team provides 24 * 7 after-sales service for you, which can help you solve any problems

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CONTACT USCustomer satisfaction is our first goal!

Consultation hotline:0086-15900663312

Address:No. 3888, Hutai Road, Baoshan District, Shanghai, China

Price of protective clothing for pneumonia virus

Jie's Notes

Jie's Notes

2015 Fast ,R-CNN,; 2016 Faster ,R-CNN,; 更好的特征网络. 2016 HyperNet; 2016 MS-CNN; 2016 PVANet; 2017 Light-Head ,R-CNN, 更精准的RPN. 2015 MR-CNN; 2016 FPN; 2016 CRAFT; 更完善的ROI分类. 2016 R—FCN、 2017 CoupleNet; 2017 ,Mask R-CNN,; 2017 ,Cascade R-CNN,; 样本后处理. 2016 OHEM; 2017 Soft-NMS; 2017 A-Fast-,RCNN,; 更大的mini-Batch ...

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sotabench: Paper - Cascade R-CNN: High Quality Object ...

sotabench: Paper - Cascade R-CNN: High Quality Object ...

In object detection, the intersection over union (IoU) threshold is frequently used to define positives/negatives. The threshold used to train a detector defines its \textit{quality}. While the commonly used threshold of 0.5 leads to noisy (low-quality) detections, detection performance frequently degrades for larger thresholds. This paradox of high-quality detection has two causes: 1 ...

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Hybrid Task Cascade for Instance Segmentation

Hybrid Task Cascade for Instance Segmentation

higher ,mask, AP than ,Mask R-CNN, and ,Cascade Mask R-CNN, baselines respectively on the challenging COCO dataset. Together with better backbones and other common components, e.g. deformable convolution, multi-scale train-ing and testing, model ensembling, we achieve 49:0 ,mask, AP on test-dev dataset, which is 2.3% higher than the win-

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Mask R-CNN Instance Segmentation with PyTorch

Mask R-CNN Instance Segmentation with PyTorch

In this post, we will discuss a bit of theory behind ,Mask R-CNN, and how to use the pre-trained ,Mask R-CNN, model in PyTorch. This post is part of our series on PyTorch for Beginners. 1. Semantic Segmentation, Object Detection, and Instance Segmentation. As part of this series we have learned about Semantic Segmentation: In […]

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Cascade R-CNN: Delving into High Quality Object Detection ...

Cascade R-CNN: Delving into High Quality Object Detection ...

Cascade R-CNN,: Delving into High Quality Object Detection. 12/03/2017 ∙ by Zhaowei Cai, et al. ∙ University of California, San Diego ∙ 0 ∙ share . In object detection, an intersection over union (IoU) threshold is required to define positives and negatives.

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IET Digital Library: Object detection based on RGC mask R-CNN

IET Digital Library: Object detection based on RGC mask R-CNN

However, the detection performance of such methods deteriorates when samples are reduced. To address this, the authors propose an improved ,Mask R-CNN,-based method: the ResNet Group ,Cascade, (RGC) ,Mask R-CNN,. First, they compared ResNet with different layers, finding that ResNeXt-101-64 × 4d is superior to other backbone networks.

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Deep High-Resolution Representation Learning - GitHub Pages

Deep High-Resolution Representation Learning - GitHub Pages

We build a multi-level representation from the high resolution and apply it to the Faster ,R-CNN,, ,Mask R-CNN, and ,Cascade R-CNN, framework. This proposed approach achieves superior results to existing single-model networks on COCO object detection. The code and models are publicly available at ,GitHub,.

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Cascade R-CNN: High Quality Object Detection and Instance ...

Cascade R-CNN: High Quality Object Detection and Instance ...

In object detection, the intersection over union (IoU) threshold is frequently used to define positives/negatives. The threshold used to train a detector defines its \textit{quality}. While the commonly used threshold of 0.5 leads to noisy (low-quality) detections, detection performance frequently degrades for larger thresholds. This paradox of high-quality detection has two causes: 1 ...

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sotabench: Paper - Cascade R-CNN: High Quality Object ...

sotabench: Paper - Cascade R-CNN: High Quality Object ...

In object detection, the intersection over union (IoU) threshold is frequently used to define positives/negatives. The threshold used to train a detector defines its \textit{quality}. While the commonly used threshold of 0.5 leads to noisy (low-quality) detections, detection performance frequently degrades for larger thresholds. This paradox of high-quality detection has two causes: 1 ...

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Mask Rcnn Object Detection

Mask Rcnn Object Detection

Mask Rcnn, Object Detection

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