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  • Detexify LaTeX handwritten symbol recognition

    Did this help? Hosting Detexify costs money and if it helps you may consider helping to pay the hosting bill. Want a Mac app? Lucky you. The Mac app is finally stable enough. See how it works on Vimeo. Download the latest version here. Restriction: In addition to the LaTeX command the unlicensed version will copy a reminder to purchase a license to the clipboard when you select a symbol. You can p

    • Facial recognition in school renders Sweden’s first GDPR fine | European Data Protection Board

      The Swedish DPA has fined a municipality 200 000 SEK (approximately 20 000 euros) for using facial recognition technology to monitor the attendance of students in school. A school in northern Sweden has conducted a pilot using facial recognition to keep track of students’ attendance in school. The test run was conducted in one school class for a limited period of time. The Swedish DPA concluded th

      • Handwriting Recognition with ML (An In-Depth Guide)

        Want to do handwritten OCR? This blog is a comprehensive overview of the latest methods of handwritten text recognition using deep learning. We've reviewed the latest research and papers and have also built a handwriting reader from scratch. Nanonets OCR API has many interesting use cases. Talk to a Nanonets AI expert to learn more about handwritten text recognition. Introduction Optical Character

          Handwriting Recognition with ML (An In-Depth Guide)

        • handwriting-recognition/explainer.md at main · WICG/handwriting-recognition

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            handwriting-recognition/explainer.md at main · WICG/handwriting-recognition

          • How Disney Improved Activity Recognition Through Multimodal Approaches with PyTorch

            by Monica Alfaro, Albert Aparicio, Francesc Guitart, Marc Junyent, Pablo Pernias, Marcel Porta, and Miquel Àngel Farré (former Senior Technology Manager) Introduction Among the many things Disney Media & Entertainment Distribution (DMED) is responsible for, is the management and distribution of a huge array of media assets including news, sports, entertainment and features, episodic programs, mark

              How Disney Improved Activity Recognition Through Multimodal Approaches with PyTorch

            • My Internship at Zillow Group AI Part 1: Attribute Recognition in Real Estate Listings

              Have questions about buying, selling or renting during COVID-19? Learn more This browser is no longer supported. Please switch to a supported browser or download one of our Mobile Apps.

                My Internship at Zillow Group AI Part 1: Attribute Recognition in Real Estate Listings

              • 論文紹介 / An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

                第六回　全日本コンピュータビジョン勉強会　Transformer論文読み会　にて、 "An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale" [Dosovitskiy et al., ICLR 2021] のご紹介をさせていただきました。 ◆イベント詳細 URL: https://kantocv.connpass.com/event/205271/ ◆発表日: 2021/04/18 ◆紹介論文の Open Review の URL: https://openreview.net/forum?id=YicbFdNTTy

                  論文紹介 / An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

                • AIは実社会でどのように活用されているのか④ー画像認識(2)(Image Recognition)

                  はじめに 前回は店舗における画像認識の活用事例を見てきましたが、今回は駅や空港、駐車場などの交通機関および地域まるごと顔認証決済という取り組みなどを紹介します。現代の知識習得は動画活用がポイントですので、ベンダー各社が制作した動画も紹介しています。ぜひ、どこまで実現できているかを映像で確かめてみてください。 交通機関における画像認識 1. 電車 私のような切符世代にとっては駅の自動改札でさえ夢のような産物なのですが、さらに進化した「顔パス改札」が始まっています。進んでいるのはやはり中国で、2019年頃から深セン、成都、太原、鄭州、広州、南寧、昆明、西安、ハルピン、貴陽、福州など各都市の地下鉄で顔認証改札が続々導入されています。スマホで顔を登録して顔パス認証する様子を四川省の成都地下鉄の動画でご覧ください。 私のようにモバイルSuicaのタッチで満足している人も多いでしょうが、中国がやるなら

                    AIは実社会でどのように活用されているのか④ー画像認識(2)(Image Recognition)

                  • GitHub - JDAI-CV/FaceX-Zoo: A PyTorch Toolbox for Face Recognition

                    FaceX-Zoo is a PyTorch toolbox for face recognition. It provides a training module with various supervisory heads and backbones towards state-of-the-art face recognition, as well as a standardized evaluation module which enables to evaluate the models in most of the popular benchmarks just by editing a simple configuration. Also, a simple yet fully functional face SDK is provided for the validatio

                      GitHub - JDAI-CV/FaceX-Zoo: A PyTorch Toolbox for Face Recognition

                    • Haruki Sonehara / 🇺🇸シリコンバレーのプロダクトマネージャー(B2B・B2C) on Twitter: "香港政府に対する市民の抗議活動が(テクノロジー的に)次のレベルへ。Facial recognitionによる顔の特定を防ぐために、レーザーをカメラに照射しまくることでAIに対抗。まるで映画の世界がそこに・・・ 戦争は始めかたより終… https://t.co/bpK2XDn7Mb"

                      香港政府に対する市民の抗議活動が(テクノロジー的に)次のレベルへ。Facial recognitionによる顔の特定を防ぐために、レーザーをカメラに照射しまくることでAIに対抗。まるで映画の世界がそこに・・・ 戦争は始めかたより終… https://t.co/bpK2XDn7Mb

                        Haruki Sonehara / 🇺🇸シリコンバレーのプロダクトマネージャー(B2B・B2C) on Twitter: "香港政府に対する市民の抗議活動が(テクノロジー的に)次のレベルへ。Facial recognitionによる顔の特定を防ぐために、レーザーをカメラに照射しまくることでAIに対抗。まるで映画の世界がそこに・・・ 戦争は始めかたより終… https://t.co/bpK2XDn7Mb"

                      • GitHub - argmaxinc/WhisperKit: Swift native on-device speech recognition with Whisper for Apple Silicon

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                          GitHub - argmaxinc/WhisperKit: Swift native on-device speech recognition with Whisper for Apple Silicon

                        • All it takes to fool facial recognition at airports and border crossings is a printed mask, researchers found

                          Researchers with an artificial-intelligence firm said they were able to fool facial-recognition software at an airport and mobile-payment kiosks using a printed mask, highlighting security vulnerabilities.The researchers said the tests, which were carried out across three continents, fooled two mobile-payment systems, a Chinese border checkpoint, and a passport-control gate at Amsterdam's Schiphol

                            All it takes to fool facial recognition at airports and border crossings is a printed mask, researchers found

                          • ChemDataExtractor：シンプルテキストから固有表現抽出（Named Entity Recognition; NER）を行ってみる - Qiita

                            概要 論文や特許文献から材料名，化合物名，そしてそれに紐づく物性値を自動的に取得したり抽出したりしてマイニングしたい．そのようなときに使われるのが，近年ではpythonライブラリのChemDataExtractorに勢いがあります．あまり日本語の解説サイトがないので，メモとして書き残しておきます． ChemDataExtractor（導入編） 今回のテキスト解析はオープンジャーナルのNanomaterialsから，以下の有機ELの青色発光のTADF論文から例文を使います． Nanomaterials 2019, 9(12), 1735; https://doi.org/10.3390/nano9121735 A Novel Design Strategy for Suppressing Efficiency Roll-Off of Blue Thermally Activated Dela

                              ChemDataExtractor：シンプルテキストから固有表現抽出（Named Entity Recognition; NER）を行ってみる - Qiita

                            • GitHub - microsoft/Recognizers-Text: Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, date/time, etc. in multiple languages (ZH, EN, FR, ES, PT, DE, IT, TR, HI, NL. Partial support for JA, KO, AR, SV). Packages available a

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                                GitHub - microsoft/Recognizers-Text: Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, date/time, etc. in multiple languages (ZH, EN, FR, ES, PT, DE, IT, TR, HI, NL. Partial support for JA, KO, AR, SV). Packages available a

                              • OpenCVとdlibを使って顔認識(face recognition)してみる【前編】｜Tech Press | テックプレス

                                いきなりの実装に入る前に、簡単に理論のおさらいと基本的な実装方法をおさえておきます。 その後に、ウェブカメラを使って顔を検出し、似ている人を選択するアプリを作成します。 顔認識で検出するまでの流れ 画像もしくは動画を見て顔を見つける顔に焦点を合わせ、顔が正面を向いていなくても人だと認識できる目の大きさ、顔の長さなど他の人と区別するために固有の特徴量を選択検出した顔の特徴を、他の人と比較して一番似ている人を決定 顔を見つける 顔かどうかを判定するためには、いくつか方法があります。 まず、ピクセルを明るさの差でグラデーションに置き換えることで、明るさの変化の方向だけを考えることができます。 そうすれば、画像の基本パターンを知ることができるので顔の特徴を抽出しやすくなります。 この手法はHOGと呼ばれものです。 顔の向きの不一致 正面を向いている顔は認識しやすいのですが、斜めや横を向いていると途

                                  OpenCVとdlibを使って顔認識(face recognition)してみる【前編】｜Tech Press | テックプレス

                                • wav2vec Unsupervised: Speech recognition without supervision

                                  High-performance speech recognition with no supervision at all What the research is:Whether it’s giving directions, answering questions, or carrying out requests, speech recognition makes life easier in countless ways. But today the technology is available for only a small fraction of the thousands of languages spoken around the globe. This is because high-quality systems need to be trained with l

                                    wav2vec Unsupervised: Speech recognition without supervision

                                  • Exploring Self-attention for Image Recognition

                                    Recent work has shown that self-attention can serve as a basic building block for image recognition models. We explore variations of self-attention and assess their effectiveness for image recognition. We consider two forms of self-attention. One is pairwise self-attention, which generalizes standard dot-product attention and is fundamentally a set operator. The other is patchwise self-attention,

                                    • Amazon Rekognition で顔認証 / Facial Recognition with Amazon Rekognition

                                      Amazon Rekognition を用いた顔認証によるイベント受付ソリューションについて紹介します。AWS Solutions - Auto Check-In App としてテンプレート公開予定です。

                                        Amazon Rekognition で顔認証 / Facial Recognition with Amazon Rekognition

                                      • GitHub - yiskw713/pytorch_template: Pytorch Implementation example of Image Classification with flowers recognition dataset

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                                          GitHub - yiskw713/pytorch_template: Pytorch Implementation example of Image Classification with flowers recognition dataset

                                        • ‘Farewell Convolutions’ – ML Community Applauds Anonymous ICLR 2021 Paper That Uses Transformers for Image Recognition at Scale | Synced

                                          ‘Farewell Convolutions’ – ML Community Applauds Anonymous ICLR 2021 Paper That Uses Transformers for Image Recognition at Scale ICLR 2021 paper An Image Is Worth 16x16 Words: Transformers for Image Recognition at Scale suggests Transformers can outperform top CNNs on CV at scale. A new research paper, An Image Is Worth 16×16 Words: Transformers for Image Recognition at Scale, has the machine learn

                                            ‘Farewell Convolutions’ – ML Community Applauds Anonymous ICLR 2021 Paper That Uses Transformers for Image Recognition at Scale | Synced
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