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2.48 Rating by Usitestat

stvqa.tv was registered 8 years 1 month ago. It is a domain having .tv extension. It is estimated worth of $ 8.95 and have a daily income of around $ 0.15. As no active threats were reported recently, stvqa.tv is SAFE to browse.

Traffic Report

Daily Unique Visitors: Not Applicable
Daily Pageviews: Not Applicable

Estimated Valuation

Income Per Day: $ 0.15
Estimated Worth: $ 8.95

Search Engine Indexes

Google Indexed Pages: Not Applicable
Yahoo Indexed Pages: Not Applicable
Bing Indexed Pages: Not Applicable

Search Engine Backlinks

Google Backlinks: Not Applicable
Bing Backlinks: Not Applicable
Alexa BackLinks: Not Applicable

Safety Information

Google Safe Browsing: No Risk Issues
Siteadvisor Rating: Not Applicable
WOT Trustworthiness: Very Poor
WOT Privacy: Very Poor
WOT Child Safety: Very Poor

Website Ranks & Scores

Alexa Rank: Not Applicable
PageSpeed Score: 89 ON 100
Domain Authority: 49 ON 100
Bounce Rate: Not Applicable
Time On Site: Not Applicable

Web Server Information

Hosted IP Address:

143.204.89.110

Hosted Country:

Germany DE

Location Latitude:

50.1155

Location Longitude:

8.68417

Search Engine Results For stvqa.tv

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- https://github.com/yashkant/sam-textvqa

Official code for paper "Spatially Aware Multimodal Transformers for TextVQA" published at ECCV, 2020. - yashkant/sam-textvqa


Iterative Answer Prediction with Pointer-Augmented ...

- https://mmf.sh/docs/projects/m4c/

checkpoint.resume_zoo = m4c.textvqa.with_stvqa As before, for generating prediction for other pretrained model for TextVQA, replace config and checkpoint.resume_zoo according to …


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GitHub - shailzajolly/icdar_vqa: Implementation in Pytorch ...

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Feb 06, 2020 · Implementation in Pytorch for ST-VQA task in ICDAR, 2019 - shailzajolly/icdar_vqa


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【文献阅读】ST-VQA——利用图像中的场景文本进行视觉问 …

- https://blog.csdn.net/z704630835/article/details/103177331

M4C精读:融合多种模态到公共语义空间,使用指针增强多模态变形器来迭代应答TextVQA任务 Iterative Answer Prediction with Pointer-Augmented Multimodal Transformers for TextVQA 摘要...


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DocVQA: A Dataset for VQA on Document Images | DeepAI

- https://deepai.org/publication/docvqa-a-dataset-for-vqa-on-document-images

The ST-VQA [stvqa_iccv] and TextVQA [textvqa] datasets were introduced in parallel in 2019 and were quickly followed by more research [singh2019strings, gao2020multi,...


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(PDF) Multi-Modal Graph Neural Network for Joint Reasoning ...

- https://www.researchgate.net/publication/340331746_Multi-Modal_Graph_Neural_Network_for_Joint_Reasoning_on_Vision_and_Scene_Text

2019 Competition on STVQA, which extends the Bottom-Up VQA model [1] with BERT to encode the question. and text. From the results, we can see that MM-GNN.

Page Resources Breakdown

Homepage Links Analysis

STV | The home of your favourite shows
All your favourite STV programmes, soaps and sport - live and on-demand. Plus all the latest breaking news, sport and weather

Website Inpage Analysis

H1 Headings: Not Applicable H2 Headings: 19
H3 Headings: 116 H4 Headings: 3
H5 Headings: Not Applicable H6 Headings: Not Applicable
Total IFRAMEs: Not Applicable Total Images: 116
Google Adsense: Not Applicable Google Analytics: Not Applicable

Two Phrase Analysis

Words Occurrences Density Possible Spam
Box Set 17 2.408 % No
Dramas Episode 9 1.275 % No
Episode 1 7 0.992 % No
Take The 7 0.992 % No
The High 7 0.992 % No
High Road 7 0.992 % No
1 of 6 0.85 % No
Road Dramas 5 0.708 % No
Box Sets 4 0.567 % No
Set The 3 0.425 % No
James Martin's 3 0.425 % No
Sets Episode 3 0.425 % No
Saturday Morning 3 0.425 % No
Martin's Saturday 3 0.425 % No
Acceptable Risk 3 0.425 % No
of the 3 0.425 % No
Crime Box 2 0.283 % No
The Code 2 0.283 % No
Deep Water 2 0.283 % No
The Last 2 0.283 % No

Four Phrase Analysis

Words Occurrences Density Possible Spam
Take The High Road 7 0.992 % No
The High Road Dramas 5 0.708 % No
High Road Dramas Episode 5 0.708 % No
Dramas Episode 1 of 4 0.567 % No
James Martin's Saturday Morning 3 0.425 % No
Box Sets Episode 1 3 0.425 % No
Absolutely India Mancs In 2 0.283 % No
Sets Episode 1 of 2 0.283 % No
Episode 1 of 6 2 0.283 % No
Crime Box Set The 2 0.283 % No
Paul O'Grady For the 2 0.283 % No
India Mancs In Mumbai 2 0.283 % No
Channels Categories TV Guide 2 0.283 % No
the Love of Dogs 2 0.283 % No
O'Grady For the Love 2 0.283 % No
For the Love of 2 0.283 % No
Box Set Vogue Williams 2 0.283 % No
Deep Water Box Sets 1 0.142 % No
Kids Goodbye Germs Pingu 1 0.142 % No
6 Deep Water Box 1 0.142 % No

HTTP Header Analysis

Http-Version: 1.1
Status-Code: 200
Status: 200 OK
Content-Type: text/html; charset=utf-8
Transfer-Encoding: chunked
Connection: keep-alive
Date: Sat, 13 Jun 2020 10:13:08 GMT
ETag: "2d7bc-CGWnYRnHlJrd2hn/wTkOjbP4S k"
Vary: Accept-Encoding
Content-Encoding: gzip
X-Cache: Miss from cloudfront
Via: 1.1 d627b75d0c1aedd3691390ac8498d3b0.cloudfront.net (CloudFront)
X-Amz-Cf-Pop: FRA50-C1
X-Amz-Cf-Id: vGoNF4EwopmTXYjkx0siY_C9hmvEucwMWSFVPYHL5WqC1U4mJLf4Qw==

Domain Information

Domain Registrar: 1API GmbH
Registration Date: 2017-03-14 8 years 1 month 2 weeks ago
Last Modified: 2020-02-04 5 years 2 months 3 weeks ago

Domain Nameserver Information

Host IP Address Country
ns-1206.awsdns-22.org 205.251.196.182 United States United States
ns-1832.awsdns-37.co.uk 205.251.199.40 United States United States
ns-478.awsdns-59.com 205.251.193.222 United States United States
ns-733.awsdns-27.net 205.251.194.221 United States United States

DNS Record Analysis

Host Type TTL Extra
stvqa.tv A 227 IP: 143.204.89.88
stvqa.tv A 227 IP: 143.204.89.89
stvqa.tv A 227 IP: 143.204.89.114
stvqa.tv A 227 IP: 143.204.89.110
stvqa.tv NS 86400 Target: ns-1832.awsdns-37.co.uk
stvqa.tv NS 86400 Target: ns-478.awsdns-59.com
stvqa.tv NS 86400 Target: ns-733.awsdns-27.net
stvqa.tv NS 86400 Target: ns-1206.awsdns-22.org
stvqa.tv SOA 900 MNAME: ns-1206.awsdns-22.org
RNAME: awsdns-hostmaster.amazon.com
Serial: 3
Refresh: 7200
Retry: 900
Expire: 1209600
stvqa.tv MX 1800 Priority: 10
Target: inbound-smtp.eu-west-1.amazonaws.com
stvqa.tv TXT 300 TXT:
0ed1fe018aee108efdba904f66a5fce7ed041c98
3c

Full WHOIS Lookup

Domain Name: STVQA.TV
Registry Domain ID:
129021488_DOMAIN_TV-VRSN
Registrar WHOIS Server:
whois.1api.net
Registrar URL: http://www.1api.net
Updated
Date: 2020-02-04T15:13:44Z
Creation Date:
2017-03-14T10:15:14Z
Registry Expiry Date:
2021-03-14T10:15:14Z
Registrar: 1API GmbH
Registrar IANA ID:
1387
Registrar Abuse Contact Email: [email protected]
Registrar
Abuse Contact Phone: +49.6841.6984-200
Domain Status:
clientDeleteProhibited
https://icann.org/epp#clientDeleteProhibited
Domain Status:
clientTransferProhibited
https://icann.org/epp#clientTransferProhibited
Name Server:
NS-1206.AWSDNS-22.ORG
Name Server:
NS-1832.AWSDNS-37.CO.UK
Name Server: NS-478.AWSDNS-59.COM
Name
Server: NS-733.AWSDNS-27.NET
DNSSEC: unsigned
URL of the ICANN
Whois Inaccuracy Complaint Form: https://www.icann.org/wicf/
>>>
Last update of WHOIS database: 2020-06-13T10:13:59Z

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