GitHub - Findomain/Findomain: The fastest and complete solution for domain recognition. Supports screenshoting, port scan, HTTP check, data import from other tools, subdomain monitoring, alerts via Discord, Slack and Telegram, multiple API Keys for source
If you don't want to deal with servers and complex configurations when performing recon but would like more features in an integrated solution, Findomain offers a subdomains monitoring service that provides directory fuzzing, port scanning, vulnerability discovery, and more. Monitor your target domains with several popular tools (including OWASP Amass, Sublist3r, Assetfinder and Subfinder) and rec
Last month a controversial facial recognition company, Clearview AI, announced it had given its technology to the Ukrainian government. The BBC has been given evidence of how it is being used - in more than a thousand cases - to identify both the living and the dead.
Despite rapid progress in the recent past, current speech recognition systems still require labeled training data which limits this technology to a small fraction of the languages spoken around the globe. This paper describes wav2vec-U, short for wav2vec Unsupervised, a method to train speech recognition models without any labeled data. We leverage self-supervised speech representations to segment
ultraviolet on Twitter: ""There is increasing recognition of toxic factions in fandom that can reduce the mental health benefits of being a… https://t.co/qPoJpuk54w"
"There is increasing recognition of toxic factions in fandom that can reduce the mental health benefits of being a… https://t.co/qPoJpuk54w
GitHub - Shawn-Shan/fawkes: Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes
You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
The system could revolutionize how we search and discover streaming content. Disney’s massive archive spans the course of nearly a century of content, which can turn any search for specific characters, scenes or on-screen objects within it into a significant undertaking. However, a team of researchers from Disney’s Direct-to-Consumer & International Organization (DTCI) have built a machine learnin
Matter: Recognition, Rewards, & Surveys in Slack or Microsoft Teams
Redeem coins for gift cards, company rewards & donations
[DL輪読会]SlowFast Networks for Video Recognition
2019/12/06 Deep Learning JP: http://deeplearning.jp/seminar-2/ Read less
![[DL輪読会]SlowFast Networks for Video Recognition](https://cdn-ak-scissors.b.st-hatena.com/image/square/2519b4209debb1fa36d1e0af290fdc3596dcad5a/height=288;version=1;width=512/https%3A%2F%2Fcdn.slidesharecdn.com%2Fss_thumbnails%2F20191206slowfastnetworkkuboshizuma-191206010601-thumbnail.jpg%3Fwidth%3D640%26height%3D640%26fit%3Dbounds)
So there’s the bar. Now compare that to what it took in Dragon NaturallySpeaking and Windows Speech Recognition. Dragon NaturallySpeaking: Dictating the 314 utterances with DNS, I finished the draft in 159 seconds, for a rate of 126 words per minute. There were two. aNewDomain.net — In his continuing series covering speech recognition, our Lamont Wood asks the ultimate question. Of two leading opt
Action recognition in videos is a great challenge that received quite a lot of attention in the research community. Nowadays, the neural network approach is taking a prominent place in dealing with this task. Unfortunately, most networks cannot process the whole movement a person makes. When they are being trained, they work with static images, therefore, they are rarely able to fully process the
Hikvision Uyghur Recognition, NVIDIA-Powered, Sold To PRC China Authorities Despite assurances for years that Hikvision has stopped minority analytics, just 7 months ago local PRC authorities awarded a $6 million contract that explicitly requires Hikvision analytics to identify Uyghurs (维族), powered by NVIDIA hardware. IPVM obtained and verified the 85-page contract disclosing this. While the PRC
There are plenty of moments I'd love to relive again. Telephone interviews and business meetings aren't usually among them--but that's exactly what I do each time I listen to audio recordings I've made of those events for note-taking purposes. Advanced Natural Language Processing (6.864) Automatic Speech Recognition 1 A Brief Introduction to Automatic Speech Recognition Jim Glass (glass@mit.edu) M
Large language models (LLMs) have demonstrated remarkable generalizability, such as understanding arbitrary entities and relations. Instruction tuning has proven effective for distilling LLMs into more cost-efficient models such as Alpaca and Vicuna. Yet such student models still trail the original LLMs by large margins in downstream applications. In this paper, we explore targeted distillation wi
Jordan Sather on Twitter: "Protestors in Hong Kong are cutting down facial recognition towers. https://t.co/bTvb8uis7V"
Protestors in Hong Kong are cutting down facial recognition towers. https://t.co/bTvb8uis7V
Voice Recognition System Market for Automotive worth USD 4.87 Billion by 2027, registering a CAGR of 22.48% - Report by Market Research Future (MRFR)
Voice Recognition System Market for Automotive worth USD 4.87 Billion by 2027, registering a CAGR of 22.48% - Report by Market Research Future (MRFR) August 11, 2021 13:01 ET | Source: Market Research Future New York, Aug. 11, 2021 (GLOBE NEWSWIRE) -- Automotive Voice Recognition System Market Overview: According to a comprehensive research report by Market Research Future (MRFR), “Automotive Voic
LINE's 3D Recognition Technology and Future Prospects
LINEの3D認識技術と今後の展望 井尻善久（LINE株式会社） MLAI-TALK #1 での発表資料です https://line.connpass.com/event/231314/
Rite Aid Banned from Using AI Facial Recognition After FTC Says Retailer Deployed Technology without Reasonable Safeguards
An official website of the United States government Here’s how you know The .gov means it’s official. Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site. The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted sec
GitHub - huggingface/distil-whisper: Distilled variant of Whisper for speech recognition. 6x faster, 50% smaller, within 1% word error rate.
You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session.
Automatic Content Recognition Market Size, Share 2030
Automatic Content Recognition (ACR) Market Research Report Information By Solution (Audio, Video and Image Recognition, Voice, Real Time Content Analytics), By Service (Professional, Managed), By End User (IT & Telecommunication, Healthcare), And By Region (North America, Europe, Asia-Pacific, And Rest Of The World) –Market Forecast Till 2032. Automatic Content Recognition (ACR) Market Overview Au
In the weeks after Russia invaded Ukraine and images of the devastation wrought there flooded the news, Hoan Ton-That, the chief executive of the facial recognition company Clearview AI, began thinking about how he could get involved. He believed his company’s technology could offer clarity in complex situations in the war. “I remember seeing videos of captured Russian soldiers and Russia claiming
Zero-Shot Action Recognition has attracted attention in the last years and many approaches have been proposed for recognition of objects, events and actions in images and videos. There is a demand for methods that can classify instances from classes that are not present in the training of models, especially in the complex problem of automatic video understanding, since collecting, annotating and l
tkasasagi 🐻 on Twitter: "My Kuzushiji recognition mobile app using Tensorflow and Flutter project got awarded research grant from Japan Scie… https://t.co/Gcu1ZI3V1j"
My Kuzushiji recognition mobile app using Tensorflow and Flutter project got awarded research grant from Japan Scie… https://t.co/Gcu1ZI3V1j
#!/usr/bin/env python3 from vosk import Model, KaldiRecognizer, SetLogLevel import sys import os import wave SetLogLevel(0) if not os.path.exists("model"): print ("Please download the model from https://alphacephei.com/vosk/models and unpack as 'model' in the current folder.") exit (1) wf = wave.open(sys.argv[1], "rb") if wf.getnchannels() != 1 or wf.getsampwidth() != 2 or wf.getcomptype() != "NON
Beda Face Detection Dan Face Recognition - prodlasopa
Face ID in iPhone X vs. 'Face Unlock' Facial Recognition in OnePlus 5T. Like devices with facial recognition from Samsung. Video Content Producer. Price refinements - CarouselShowing slide {CURRENT_SLIDE} of {TOTAL_SLIDES} - Price refinements
As Biden Inches Ahead in Georgia, Stacey Abrams Draws Recognition and Praise (Published 2020)
Democrats believe that the voting rights and political network Stacey Abrams has constructed should get a good deal of the credit for propelling the Democratic voter turnout in Georgia.Credit...Johnathon Kelso for The New York Times Stacey Abrams, who earlier this year was on a short list of potential vice-presidential candidates, was ultimately not chosen by Joseph R. Biden Jr. But on Friday, as
How to Make Neural Language Models Practical for Speech Recognition
An automatic-speech-recognition system — such as Alexa’s — converts speech into text, and one of its key components is its language model. Given a sequence of words, the language model computes the probability that any given word is the next one. For instance, a language model would predict that a sentence that begins “Toni Morrison won the Nobel” is more likely to conclude “Prize” than “dries”. L
Ultimate Language TechnologiesTransform Your Business with AI-Enhanced Speech and Translation Tools Machine TranslationTranslate text and documents with total security in 109 languages for a fixed price
GitHub - GoogleCloudPlatform/bigquery-antipattern-recognition
You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
はじめに これまでに取り上げた駅の顔パス認証、自動運転車、衛星画像を利用した自然環境保護などは、まだ実用化に向けた取り組み段階のものが多かったです。しかし、防犯分野ではAIの画像認識技術はかなり実用化されています。今回はAIの搭載により大きく機能UPした防犯カメラが、すでに身近に出回っているという状況を紹介します。 防犯カメラ ひと昔前の防犯カメラは犯罪や事故が発生したときの様子を記録するだけのものでした。しかし、最近の防犯カメラは事後だけでなく、防犯という文字通りリアルタイムで発生を通知したり、未然に防いだりするところまで役割が広がっています。 こうした機能拡張に大きく役立っているのがAIです。刑事ドラマなどで警察が録画された映像をひたすら見て犯罪や事故の状況をチェックするシーンがよくありますが、この人間が判断する作業をAIの画像解析技術で行えるようになりました。防犯カメラで撮影しながら
face_recognition/README_Japanese.md at master · ageitgey/face_recognition
You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
tkasasagi 🐻 on Twitter: "I don’t know if it’s useful though. 🤣 it’s just image marker but not real-time recognition. https://t.co/7DRknNAJGB"
I don’t know if it’s useful though. 🤣 it’s just image marker but not real-time recognition. https://t.co/7DRknNAJGB
Beda Face Detection Dan Face Recognition - lasopasummit
Swiss European surveillance: face recognition and vehicle make, model, color and license plate reader Close-up of the infraredilluminator. The light is invisible to the human eye, but creates a day-like environment for the surveillance cameras. A facial recognition system is a technology capable of identifying or verifying a person from a digital image or a video frame from a video source. There a
Data augmentation with transformer models for named entity recognition - Depends on the definition
2020-08-23 | Tobias Sterbak Data augmentation with transformer models for named entity recognition Language model based pre-trained models such as BERT have provided significant gains across different NLP tasks. For many NLP tasks, labeled training data is scarce and acquiring them is a expensive and demanding task. Data augmentation can help increasing the data efficiency by artificially perturbi
GitHub - Alpha-Video/AlphaVideo: Vision toolbox for video related tasks including action recognition, multi-object tracking.
You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
Why am I being abused for trying to improve the gender recognition process? | Caroline Nokes
‘We spent months speaking with trans rights and women’s rights groups and sought to strike a path that safeguarded the rights of both.’ Caroline Nokes. Photograph: UK Parliament/Jessica Taylor/PA ‘We spent months speaking with trans rights and women’s rights groups and sought to strike a path that safeguarded the rights of both.’ Caroline Nokes. Photograph: UK Parliament/Jessica Taylor/PA
FaceCheck - Reverse Image Search - Face Recognition Search Engine
FaceCheck works extra hard to find and index faces of violent criminals, child rapists & molesters, sex offenders, kidnappers, abusers, murderers, hate crime perpetrators, burglars, gang members, fugitives, terrorists, online dating & romance scammers, and other fraudsters. Avoid Becoming a Victim Uncover catfish, romance scammer, or fake dating profile Avoid dating a swindler, convict, or deadbea
nerman: Named Entity Recognition System Built on AllenNLP and Optuna
This article is a translation of the Japanese blog post authored by Makoto Hiramatsu of Cookpad Inc. I am Makoto Hiramatsu (Twitter: @himkt or @himako_h) from the Business Development Department at Cookpad. 👋 I usually work on natural language processing (NLP) on real-world data. In this article, I introduce nerman, a named entity recognition system from recipe texts. The word nerman is derived f
Recognition Awards & Medals | Engraved Trophies - Alexandria, LA
Education Lamp of Knowledge Award Trophies | 4 SIZES | 5 COLORS
An Image is Worth 16x16 Words: Transformers for Image Recognition...
Abstract: While the Transformer architecture has become the de-facto standard for natural language processing tasks, its applications to computer vision remain limited. In vision, attention is either applied in conjunction with convolutional networks, or used to replace certain components of convolutional networks while keeping their overall structure in place. We show that this reliance on CNNs i
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
How facial recognition is identifying the dead in Ukraine
Unsupervised Speech Recognition
Disney's new AI is facial recognition for animation
Dragon Speech Recognition - developerlasopa
Real-time Action Recognition using a 3D CNN
Hikvision Uyghur Recognition, NVIDIA-Powered, Sold To PRC China Authorities
Speech Recognition For Meetings - lasopabars
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition
Facial Recognition Goes to War (Published 2022)
Zero-Shot Action Recognition in Videos: A Survey
完全オフラインで日本語対応のSpeech Recognitionモデル「Vosk」を試す - Qiita
Lingvanex | Machine Translation and Speech Recognition
AIは実社会でどのように活用されているのか⑥ー画像認識(4)(Image Recognition)
Ukraine war: What does facial recognition software make of Putin’s backdrop crowd?
