Formula of Software Estimation
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コンピュータビジョンの最新論文調査 2D Human Pose Estimation 編 | BLOG - DeNA Engineering
はじめに こんにちは、AIシステム部でコンピュータビジョンの研究開発をしている加藤です。我々のチームでは、常に最新のコンピュータビジョンに関する論文調査を行い、部内で共有・議論しています。今回は 2D Human Pose Estimation 編として加藤直樹 ( @nk35jk ) が調査を行いました。 本記事では 2D Human Pose Estimation に関する代表的な研究事例を紹介するとともに、2019年10月から11月にかけて開催されたコンピュータビジョンのトップカンファレンスである ICCV 2019 に採録された 2D Human Pose Estimation の最新論文を紹介します。 過去の他タスク編については以下をご参照ください。 Human Recognition 編 (2019/04/26) 3D Vision 編 (2019/06/04) キーポイント検
Shota Imai@えるエル on Twitter: "テスラの自動運転車の制御AI視点で、行っている処理を可視化したもの semantic segmentation、object detection、depth estimationなど、最近の機械学習、特にCV技術の集合体感がある(… https://t.co/KLdiklVxA3"
テスラの自動運転車の制御AI視点で、行っている処理を可視化したもの semantic segmentation、object detection、depth estimationなど、最近の機械学習、特にCV技術の集合体感がある(… https://t.co/KLdiklVxA3
［速報」Terraformのインフラ定義から自動的にクラウドの費用を見積もる「Cost Estimation」機能登場。HashiConf '19
［速報」Terraformのインフラ定義から自動的にクラウドの費用を見積もる「Cost Estimation」機能登場。HashiConf '19 HashiCorpは米サンフランシスコで開催中のイベント「HashiConf '19」で、Terraformのインフラ定義から自動的にクラウドの月額費用などを見積もる「Cost Estimation」機能をTerraform CloudとTerraform Enterpriseに追加したことを発表しました。 この機能によって、Terraformでクラウドインフラの状態を実際に変更する前に、定義ファイルの内容からTerraformが自動的に変更後にかかるクラウドの月額費用などを見積もりを表示。 利用者はクラウドインフラの状態を変更した場合の費用にかかる影響などを事前に予測することができ、適切なクラウド利用を支援してくれます。 Cost Estim
【注目論文】Sinusoidal Frequency Estimation by Gradient Descent - Qiita
QMULのBen Hayes氏らが、勾配降下法で周波数推定を行う手法を論文で発表しました。ICASSP2023に投稿したそうです。 きわめてシンプルな手法なのですが、機械学習系音声合成にとってはたいへん重要な成果だと思うので、紹介します。 論文リンク：Sinusoidal Frequency Estimation by Gradient Descent ソースコード：https://github.com/ben-hayes/sinusoidal-gradient-descent 背景：DDSPの限界 DDSP(Differentiable Digital Signal Processing)とは、微分可能な計算式を持つDSPモジュールをDNNに組み込んで機械学習をやる手法で、Google Magentaプロジェクトが最初に打ち出したアイデアです。 今ではもうDDSPシリーズと呼べるほど多様
【CVPR'19 / ICCV'19】3D Human Pose Estimationの最新研究動向まとめ｜Hiromi Nakagawa
はじめにPose Estimationとは、画像や動画から人物の姿勢（関節位置）を推定するタスクのことです。特殊なマーカーを身に着けたりせずに、一般的な動画像のみから人物の姿勢を推定できるため、例えば ・スポーツにおける選手のフォーム分析 ・映画やアニメの制作におけるモーションキャプチャ ・店舗の監視カメラ映像を元にした人物の行動解析 など、様々なアプリケーションが考えられます。 従来は画像上の関節位置のXY座標のみを推定する2D Pose Estimationの研究や応用が主流でしたが、近年のDeep Learningを中心とした画像認識技術の発展により、奥行方向も含めて3次元的に人物の姿勢を推定する3D Pose Estimationの研究が活発化しており、現実世界のヒトの動き・行動をよりリアルに認識することが可能になってきています。 本記事では特に2019年のCVPRやICCVなど画
January 22, 2020 When I first joined Netlify over 2 years ago, I took over sprint planning for a while. As many teams do, they were doing a sort of scrum-lite. They didn’t have an estimation scale and we all agreed at various times that the traditional scrum scales of t-shirt sizes or fun bucks didn’t really capture the concept of scoring complexity. So, I came up with a scale I thought captured c
Abstract We present an algorithm for reconstructing dense, geometrically consistent depth for all pixels in a monocular video. We leverage a conventional structure-from-motion reconstruction to establish geometric constraints on pixels in the video. Unlike the ad-hoc priors in classical reconstruction, we use a learning-based prior, i.e., a convolutional neural network trained for single-image dep
GitHub - ngryman/reading-time: :books: Medium's like reading time estimation.
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Estimation of total and excess mortality due to COVID-19 | Institute for Health Metrics and Evaluation
Estimation of total and excess mortality due to COVID-19 Published October 15, 2021 This page was updated on October 15, 2021 to reflect changes in our modeling strategy. View our previous methods published May 13, 2021 here. In our October 15 release, we introduced three major changes. First, we have very substantially updated the data and methods used to estimate excess mortality related to the
GitHub - digital-standard/ThreeDPoseUnityBarracuda: Unity sample of 3D pose estimation using Barracuda
ThreeDPoseUnityBarracuda This project is not maintained. Since it is still old, an error may occur, but please see it as such. Also, the code for ThreeDPoseTracker has been moved to a private repository, so I haven't maintained the code published on Github. We have not answered any questions regarding the code. このプロジェクトはメンテナンスを行っていません。古いままなのでエラーが発生するかも知れませんがそういう物として見てください。 また、ThreeDPoseTrackerのコード
Jetson Nanoに骨格検出を実現するソフト「tf-pose-estimation」をセットアップする方法 - Qiita
Jetson NanoでPose Estimation Jetson Nanoで骨格検出の技術を動かしてみます。「tf-pose-estimation」というソフトを使うと単眼カメラで人間の骨格検出をすることができます。詳しくは以下ブログ記事を参照下さい。 単眼カメラでKinectのように骨格検出する技術「Realtime Multi-Person Pose Estimation」を試してみた Jetson Nanoで「tf-pose-estimation」のセットアップ ほとんど以下の記事を参考にさせていただきました。おかげで詰まることなくセットアップできたので、本当に感謝です。 Jetson Nano に TensorFlow版のOpenpose入れてみる そのままだと付加価値がないので、上記のセットアップをコマンド一発で実行できるようにスクリプトにした上で、Raspberry Piカ
Economics Meets Data Science: The Structural Estimation Series, Part I - Sansan Tech Blog
Hey there! I'm Juan (ファン), a researcher at DSOC's Social Science Team. Since this is probably the first time you read me, I thought of briefly introducing myself. I was born in El Salvador, Central America, which explains why you'll find some Español here and there in my posts. I majored in Economics when studying the undergrad back at home, then came to Japan in 2011, graduated from the PhD in Ec
Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging
We propose a method that can generate highly detailed high-resolution depth estimations from a single image. Our method is based on optimizing the performance of a pre-trained network by merging estimations in different resolutions and different patches to generate a high-resolution estimate. Abstract Neural networks have shown great abilities in estimating depth from a single image. However, the
GitHub - lzccccc/3d-bounding-box-estimation-for-autonomous-driving: 3d bounding box estimation from monocular image based on 2d bounding box
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Approximation and Non-parametric Estimation of ResNet-type Convolutional Neural Networks (ICML 2019)
Approximation and Non-parametric Estimation of ResNet-type Convolutional Neural Networks (ICML 2019)
To overcome the computational bottleneck of various data perturbation procedures such as the bootstrap and cross validations, we propose the Generative Multiple-purpose Sampler (GMS), which constructs a generator function to produce solutions of weighted M-estimators from a set of given weights and tuning parameters. The GMS is implemented by a single optimization without having to repeatedly eval
Estimating Software Projects: Software Estimation Is Hard. Do It Anyway.It’s well-established that estimating software projects is hard. One study by HBR found that one in six IT projects had cost overruns of over 200% and were late by almost 70%. Another study by McKinsey found that IT projects are on average 45% over budget and 7% over schedule. They found large software projects were particular
Chrome 88: Digital Goods, Lighting Estimation in Augmented Reality, and More
$200K 1 10th birthday 4 abusive ads 1 abusive notifications 2 accessibility 3 ad blockers 1 ad blocking 2 advanced capabilities 1 android 2 anti abuse 1 anti-deception 1 background periodic sync 1 badging 1 benchmarks 1 beta 83 better ads standards 1 billing 1 birthday 4 blink 2 browser 2 browser interoperability 1 bundles 1 capabilities 6 capable web 1 cds 1 cds18 2 cds2018 1 chrome 35 chrome 81
GitHub - edvardHua/PoseEstimationForMobile: Real-time single person pose estimation for Android and iOS.
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The Shape of Code » Software effort estimation is mostly fake research
Effort estimation is an important component of any project, software or otherwise. While effort estimation is something that everybody in industry is involved with on a regular basis, it is a niche topic in software engineering research. The problem is researcher attitude (e.g., they are unwilling to venture into the wilds of industry), which has stopped them acquiring the estimation data needed t
GitHub - Ahmednull/L2CS-Net: The official PyTorch implementation of L2CS-Net for gaze estimation and tracking
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GitHub - Hzzone/pytorch-openpose: pytorch implementation of openpose including Hand and Body Pose Estimation.
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GitHub - nianticlabs/monodepth2: [ICCV 2019] Monocular depth estimation from a single image
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![GitHub - nianticlabs/monodepth2: [ICCV 2019] Monocular depth estimation from a single image](https://cdn-ak-scissors.b.st-hatena.com/image/square/a8c8c351ddfd2d4fc9e55aeef661516f443e1fc2/height=288;version=1;width=512/https%3A%2F%2Frepository-images.githubusercontent.com%2F184593965%2F1d3e0500-6cf2-11e9-8a90-7fbed404dc88)
IT Project Estimation Techniques: Top-Down and Bottoms-Up Approaches
Every Information Technology (IT) project has direct and indirect cost implications. Therefore, an effective and practical estimation of any information technology project is crucial. As evident from the name, the direct cost is the money invested in executing the project. However, the impact of the indirect costs can also be substantial for a software project. Regardless, while the accurate estim
GitHub - mkocabas/VIBE: Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"
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Diabetic Retinopathy Market Size Estimation, Growth Statistics, Future Trends and Leading Players and COVID-19 Impact Analysis By 2025
Diabetic Retinopathy Market Size Estimation, Growth Statistics, Future Trends and Leading Players and COVID-19 Impact Analysis By 2025 Diabetic Retinopathy Market Growth, Trends and Size Analysis by Type (Non-proliferative and Proliferative), Treatment (Anti-VEGF Drugs, Laser Photocoagulation, Vitreoretinal Surgery, Steroid Injection), by End User (Hospitals, Ambulatory Surgical Centers, Others) a
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Fruit salad: a scrum estimation scale - fberriman.com
Consistent Video Depth Estimation
Generative Multiple-purpose Sampler for Weighted M-estimation
Software Estimation Is Hard. Do It Anyway. - Jacob Kaplan-Moss
HMDとコントローラーの3点だけで最大11点の擬似フルトラッキングを可能にする「Standable: Full Body Estimation」が発売／「VRChat」や「NeosVR」での動作は確認済み
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