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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
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
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
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
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
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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
#!/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
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
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
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
‘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 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
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
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
Japanese police have been using a system that can match photos of people who have been previously arrested with images gathered by surveillance cameras and social media, police officials said Saturday, a move that could raise concerns about privacy violations. The facial analysis system has been operated by police across the nation since March to identify criminal suspects more quickly and accurat
The process of transcribing speech in real time from an input audio stream is known as online speech recognition. Most automatic speech recognition (ASR) research focuses on improving accuracy without the constraint of performing the task in real time. For applications like live video captioning or on-device transcriptions, however, it is important to reduce the latency between the audio and the c
Next time you want to identify a song you hear in a TV show, movie, or other video give Mousai a go. Mousai by SeaDve is a song recognition app for Linux desktop (and named after the ancient Greek Goddess of song and music). Built in GTK and leveraging the AudD song recognition API, Mousai is basically Shazam for Linux. Open Mousai, hit the ‘listen’ button, play the song you want to identify (idea
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概要 Face Recognition (FR; 顔認証) の手法の近年の遷移をサーベイした論文. リンク モダンな深層距離学習 (deep metric learning) 手法: SphereFace, CosFace, ArcFace - Qiita LFW自体がCNN使わずとも98.5%とか出ちゃう簡単なベンチマークなので、この表はほとんど意味ないです… ここ最近の傾向だと、SphereFaceとCosineFaceとArcFaceを合体させて一般化したCombined Margin Lossがファイナルアンサーっぽい感じです。https://t.co/K9ciQQlqNe — Koichi Takahashi (@51Takahashi) February 13, 2019 距離学習の概要 (顔写真などの) 2枚の画像 \(I_1, I_2 \in \mathrm{Images}
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