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Development of Multimodal Data Retrieval Engine Based on Human Cognitive System

Research Project

Project/Area Number 19H04172
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Review Section Basic Section 61030:Intelligent informatics-related
Research InstitutionOsaka Gakuin University (2020-2022)
Kobe University (2019)

Principal Investigator

Uehara Kuniaki  大阪学院大学, 経営学部, 教授 (60160206)

Co-Investigator(Kenkyū-buntansha) 白浜 公章  近畿大学, 情報学部, 准教授 (30467675)
松原 崇  大阪大学, 大学院基礎工学研究科, 准教授 (70756197)
Project Period (FY) 2019-04-01 – 2023-03-31
Project Status Completed (Fiscal Year 2022)
Budget Amount *help
¥17,160,000 (Direct Cost: ¥13,200,000、Indirect Cost: ¥3,960,000)
Fiscal Year 2022: ¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2021: ¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2020: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2019: ¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Keywords深層学習 / マルチモーダルデータ / epistemic uncertainty / aleatoric uncertainty / マルチモーダル検索 / 機械学習 / マルチモーダルデータ検索エンジン / 再起型ニューラルネットワーク / 埋め込み / 検索クエリ / 映像検索手法 / 人間の認知システム / マルチモーダル / 検索エンジン / 認知システム / 情報検索 / 表現学習 / 不確実性 / TRECVID
Outline of Research at the Start

深層学習の発達により,画像分類の問題ならば性能は人間を上回っている.しかし,画像やテキストに複数の概念(物体や動作))が含まれ,概念間の関係性が重要である場合,それらの認識はいまだ困難である.これは,従来の学習法では複合概念を分解したり,分解した個々の概念のマッチングができないためである.すなわち,複合概念は組み合わせ数だけ存在するため,単純にデータ量を増やすだけでは問題を解決することはできない.本研究課題では「人間や生物が持つ認知システムの特性が概念の分解に貢献するのではないか?」という問いを基に,深層学習の構成と訓練方法を改良し,高性能なマルチモーダルデータ検索エンジンを研究・開発する.

Outline of Final Research Achievements

This project focuses on embedding that is a technique for semantically aligning images with text captions, and aims to exploit characteristics of biological cognitive systems to develop embedding approaches that can decompose a complex semantic meaning into component concepts and analyze attributes and relations of those concepts. The main contributions to this goal are the development of embedding methods that can treat uncertainties to evaluate the importance of information and the reliability of retrieval results. Another main contribution is to devise a method that iteratively aligns words and phrases in a text caption with regions in an image based on human attention mechanism. The effectiveness of these methods has been validated by using large-scale benchmark datasets and participating in an international competition (TRECVID).

Academic Significance and Societal Importance of the Research Achievements

深層学習の発達や大規模データの整備によって,物体やシーンといった単純な意味に関する画像分類ならば性能は人間を上回っている.しかし,従来手法では,複数の概念間の関係性が重要である複合概念を分解したり,分解した個々の概念のマッチングが行えない.そこで,本研究では,埋め込みに基づく画像とテキストの相互検索を題材として,概念の重要度や信頼性を評価する手法や,下位の概念から上位の概念の意味を動的に導出し,画像とテキストに含まれる概念を逐次的に対応づける手法を開発した.これらの手法は,例えば動画とテキスト,音楽と感情など,様々なマルチモーダルデータの意味的なマッチングに汎用的に応用可能である.

Report

(5 results)
  • 2022 Annual Research Report   Final Research Report ( PDF )
  • 2021 Annual Research Report
  • 2020 Annual Research Report
  • 2019 Annual Research Report
  • Research Products

    (64 results)

All 2023 2022 2021 2020 2019

All Journal Article (12 results) (of which Int'l Joint Research: 5 results,  Peer Reviewed: 12 results,  Open Access: 7 results) Presentation (52 results) (of which Int'l Joint Research: 13 results)

  • [Journal Article] Embedding-based Music Emotion Recognition Using Composite Loss2023

    • Author(s)
      Naoki Takashima, Frederic Li, Marcin Grzegorzek and Kimiaki Shirahama
    • Journal Title

      IEEE Access

      Volume: 11 Pages: 36579-36604

    • DOI

      10.1109/access.2023.3265807

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Sleep Stage Classification in Children Using Self-Attention and Gaussian Noise Data Augmentation2023

    • Author(s)
      Xinyu Huang, Kimiaki Shirahama, Muhammad Tausif Irshad, Muhammad Adeel Nisar, Artur Piet and Marcin Grzegorzek
    • Journal Title

      Sensors

      Volume: 23 Issue: 7 Pages: 3446-3446

    • DOI

      10.3390/s23073446

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Multi-Modal Entity Alignment Using Uncertainty Quantification for Modality Importance2023

    • Author(s)
      Kenta Hama, and Takashi Matsubara
    • Journal Title

      IEEE Access

      Volume: 11 Pages: 28479-28489

    • DOI

      10.1109/access.2023.3259987

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Topology-Aware Flow-Based Point Cloud Generation2023

    • Author(s)
      Takumi Kimura, Takashi Matsubara, and Kuniaki Uehara
    • Journal Title

      IEEE Transactions on Circuits and Systems for Video Technology

      Volume: 32 Issue: 11 Pages: 7967-7982

    • DOI

      10.1109/tcsvt.2022.3181212

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Few-Shot Anomaly Detection Using Deep Generative Models for Grouped Data2022

    • Author(s)
      Kazuki Sato, Satoshi Nakata, Takashi Matsubara, and Kuniaki Uehara
    • Journal Title

      IEICE Transactions on Information and Systems

      Volume: E105.D Issue: 2 Pages: 436-440

    • DOI

      10.1587/transinf.2021EDL8063

    • NAID

      130008149859

    • ISSN
      0916-8532, 1745-1361
    • Year and Date
      2022-02-01
    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] A New Pairwise Deep Learning Feature For Environmental Microorganism Image Analysis2022

    • Author(s)
      Frank Kulwa, Chen Li, Jinghua Zhang, Kimiaki Shirahama, Sergey Kosov, Xin Zhao, Hongzan Sun, Tao Jiang and Marcin Grzegorzek
    • Journal Title

      Environmental Science and Pollution Research

      Volume: 29 Issue: 34 Pages: 51909-51926

    • DOI

      10.1007/s11356-022-18849-0

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Neural Architecture Search for Convolutional Neural Networks with Attention2021

    • Author(s)
      Kohei Nakai, Takashi Matsubara, Kuniaki Uehara
    • Journal Title

      IEICE Transactions on Information and Systems

      Volume: E104.D Issue: 2 Pages: 312-321

    • DOI

      10.1587/transinf.2020EDP7111

    • NAID

      130007979521

    • ISSN
      0916-8532, 1745-1361
    • Year and Date
      2021-02-01
    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Target-Oriented Deformation of Visual-Semantic Embedding Space2021

    • Author(s)
      Takashi Matsubara
    • Journal Title

      IEICE Transactions on Information and Systems

      Volume: E104.D Issue: 1 Pages: 24-33

    • DOI

      10.1587/transinf.2020MUP0003

    • NAID

      130007965145

    • ISSN
      0916-8532, 1745-1361
    • Year and Date
      2021-01-01
    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] LCU-Net: A novel low-cost U-Net for environmental microorganism image segmentation2021

    • Author(s)
      Jinghua Zhang, Chen Li, Sergey Kosov, Marcin Grzegorzek, Kimiaki Shirahama, Tao Jiang, Changhao Sun, Zihan Li and Hong Li
    • Journal Title

      Pattern Recognition

      Volume: 115 Pages: 107885-107885

    • DOI

      10.1016/j.patcog.2021.107885

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Deep State-Space Model for Noise Tolerant Skeleton-Based Action Recognition2020

    • Author(s)
      Kazuki Kawamura, Takashi Matsubara, and Kuniaki Uehara
    • Journal Title

      IEICE Transactions on Information and Systems

      Volume: E103.D Issue: 6 Pages: 1217-1225

    • DOI

      10.1587/transinf.2019MVP0012

    • NAID

      130007850086

    • ISSN
      0916-8532, 1745-1361
    • Year and Date
      2020-06-01
    • Related Report
      2020 Annual Research Report 2019 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Deep Generative Model Using Unregularized Score for Anomaly Detection With Heterogeneous Complexity2020

    • Author(s)
      Takashi Matsubara, Kazuki Sato, Kenta Hama, Ryosuke Tachibana, Kuniaki Uehara
    • Journal Title

      IEEE Transactions on Cybernetics

      Volume: - Issue: 6 Pages: 1-13

    • DOI

      10.1109/tcyb.2020.3027724

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Sleep stage classification for child patients using DeConvolutional Neural Network2020

    • Author(s)
      Xinyu Huang, Kimiaki Shirahama, Frederic Li and Marcin Grzegorzek
    • Journal Title

      Journal of Artificial Intelligence in Medicine

      Volume: 110 Pages: 101981-101981

    • DOI

      10.1016/j.artmed.2020.101981

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Presentation] Deep Curvilinear Editing: Commutative and Nonlinear Image Manipulation for Pretrained Deep Generative Model2023

    • Author(s)
      Takehiro Aoshima, Takashi Matsubara
    • Organizer
      The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Inverse Heat Dissipation Model for Image Segmentation2023

    • Author(s)
      Yu Kashihara, Takashi Matsubara
    • Organizer
      RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP2023)
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Learning Attribute Curvilinear Coordinates for Pretrained Deep Generative Model2023

    • Author(s)
      Takehiro Aoshima, Takashi Matsubara
    • Organizer
      RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP2023)
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Domain Adaptation for Japanese Sentence Embedding Models with Contrastive Learning2023

    • Author(s)
      Zihao Chen, Hisashi Handa and Kimiaki Shirahama
    • Organizer
      2023年電子情報通信学会総合大会
    • Related Report
      2022 Annual Research Report
  • [Presentation] 深層生成モデルのための可換かつ非線形な画像編集2023

    • Author(s)
      青嶋雄大,松原崇
    • Organizer
      人工知能学会 全国大会 (JSAI2023)
    • Related Report
      2022 Annual Research Report
  • [Presentation] 距離情報を含む画像のセグメンテーションのための距離同変畳み込み2023

    • Author(s)
      丸茂英敬,松原崇
    • Organizer
      67回 システム制御情報学会 研究発表講演会 (SCI2023)
    • Related Report
      2022 Annual Research Report
  • [Presentation] 逆熱拡散モデルによる医療画像セグメンテーション2023

    • Author(s)
      柏原悠,松原崇
    • Organizer
      電子情報通信学会 複雑コミュニケーションサイエンス研究会
    • Related Report
      2022 Annual Research Report
  • [Presentation] 深層生成モデルの潜在空間における可換な属性ベクトル場の学習2023

    • Author(s)
      青嶋雄大,松原崇
    • Organizer
      電子情報通信学会 複雑コミュニケーションサイエンス研究会
    • Related Report
      2022 Annual Research Report
  • [Presentation] Kindai University, Osaka Gakuin University and Osaka University at TRECVID 2022 AVS Task2022

    • Author(s)
      Kimiaki Shirahama, Kazuma Fujioka, Taichi Shinno, Takashi Matsubara and Kuniaki Uehara
    • Organizer
      Proc. of TREC Video Retrieval Evaluation (TRECVID) 2022
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Application of Denoising Image Restoration to Anomaly Detection2022

    • Author(s)
      Yu Kashihara, Takashi Matsubara
    • Organizer
      International Symposium on Nonlinear Theory and Its Applications (NOLTA2022)
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Common Space Learning with Gaussian Embedding for Multi-Modal Entity Alignment2022

    • Author(s)
      Kenta Hama, Takashi Matsubara
    • Organizer
      International Symposium on Nonlinear Theory and Its Applications (NOLTA2022)
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Nonlinear and Commutative Editing in Pretrained GAN Latent Space2022

    • Author(s)
      Takehiro Aoshima, Takashi Matsubara
    • Organizer
      NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Toward Human Cognition-inspired High-Level Decision Making For Hierarchical Reinforcement Learning Agents2022

    • Author(s)
      Rousslan Fernand Julien Dossa, Takashi Matsubara
    • Organizer
      Proceedings of the Decision Awareness in Reinforcement Learning at the Internal Conference on Machine Learning 2022
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] StyleGAN3を用いた表情生成と感情因子の抽出2022

    • Author(s)
      水野翔太,白浜公章
    • Organizer
      計測自動制御学会 システム・情報部門学術講演会2022(SSI 2022)
    • Related Report
      2022 Annual Research Report
  • [Presentation] Retrieval of Similar Questions from QAbot Data based on Transformer Language Model2022

    • Author(s)
      Zihao Chen, Hisashi Handa and Kimiaki Shirahama
    • Organizer
      教育工学研究会
    • Related Report
      2022 Annual Research Report
  • [Presentation] ANの潜在空間における非線形な属性座標系の学習2022

    • Author(s)
      青嶋雄大, 松原崇
    • Organizer
      25回情報論的学習理論ワークショップ (IBIS2022)
    • Related Report
      2022 Annual Research Report
  • [Presentation] 補足情報の重要性を考慮したマルチモーダル知識グラフ埋め込み2022

    • Author(s)
      濱健太, 松原崇
    • Organizer
      25回情報論的学習理論ワークショップ (IBIS2022)
    • Related Report
      2022 Annual Research Report
  • [Presentation] ANの意味空間における属性ベクトル場の学習2022

    • Author(s)
      青嶋雄大,松原崇
    • Organizer
      電子情報通信学会 情報論的学習理論と機械学習研究会(IBISML)
    • Related Report
      2022 Annual Research Report
  • [Presentation] 拡散モデルによる拡散を使用しない異常検知2022

    • Author(s)
      柏原悠,松原崇
    • Organizer
      人工知能学会 全国大会 (JSAI2022)
    • Related Report
      2022 Annual Research Report
  • [Presentation] 確率分布を用いたマルチモーダル知識グラフの共通空間学習2022

    • Author(s)
      濱健太,松原崇
    • Organizer
      人工知能学会 全国大会 (JSAI2022)
    • Related Report
      2022 Annual Research Report
  • [Presentation] DAR点群のセグメンテーションのための距離同変畳み込み2022

    • Author(s)
      丸茂英敬,松原崇
    • Organizer
      人工知能学会 全国大会 (JSAI2022)
    • Related Report
      2022 Annual Research Report
  • [Presentation] 拡散を使用しない拡散モデルによる異常検知2022

    • Author(s)
      柏原悠,松原崇
    • Organizer
      電子情報通信学会 NOLTAソサイエティ大会 2022
    • Related Report
      2022 Annual Research Report
  • [Presentation] 球面投射されたLiDAR点群のための距離同変畳み込み2022

    • Author(s)
      丸茂英敬,松原崇
    • Organizer
      電子情報通信学会 NOLTAソサイエティ大会 2022
    • Related Report
      2022 Annual Research Report
  • [Presentation] Evaluation of Industrial Anomaly Detection using Diffusion Model2022

    • Author(s)
      Yu Kashihara, Takashi Matsubara
    • Organizer
      IEICE CCS (Complex Communication Sciences)
    • Related Report
      2021 Annual Research Report
  • [Presentation] Range-Equivariant Convolution for Spherical Projection-based Segmentation of LiDAR Point Clouds2022

    • Author(s)
      Hidetaka Marumo, Takashi Matsubara,
    • Organizer
      IEICE CCS (Complex Communication Sciences)
    • Related Report
      2021 Annual Research Report
  • [Presentation] ChartPointFlow for Topology-Aware 3D Point Cloud Generation,2021

    • Author(s)
      Takumi Kimura, Takashi Matsubara, Kuniaki Uehara
    • Organizer
      Proc. of ACM International Conference of Multimedia
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Toward Human Cognition-inspired High-Level Decision Making For Hierarchical Reinforcement Learning Agents2021

    • Author(s)
      Rousslan Fernand Julien Dossa, Takashi Matsubara
    • Organizer
      NLSW 2021: Nonlinear Science Workshop
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Kindai University and Osaka Gakuin University and Osaka University at TRECVID 2021 AVS Task2021

    • Author(s)
      Kimiaki Shirahama, Takumi Sato, Norihiro Yamawaki, Takashi Matsubara and Kuniaki Uehara
    • Organizer
      Proc. of TREC Video Retrieval Evaluation (TRECVID 2021)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 幾何学的構造を考慮した深層学習による3次元点群生成2021

    • Author(s)
      木村匠,松原崇,上原邦昭
    • Organizer
      Proc. of The 2021 Japanese Society for Artificial Intelligence (JSAI2021)
    • Related Report
      2020 Annual Research Report
  • [Presentation] ペア入力を用いた敵対的学習による医用画像スタイル変換2021

    • Author(s)
      藤岡和暉, 松原崇, 上原邦昭
    • Organizer
      電子情報通信学会 医用画像研究会(MI2021)
    • Related Report
      2020 Annual Research Report
  • [Presentation] 属性情報を分離したfMRI 画像の深層状態空間モデル2021

    • Author(s)
      草野航希,松原崇,上原邦昭
    • Organizer
      電子情報通信学会 医用画像研究会(MI2021)
    • Related Report
      2020 Annual Research Report
  • [Presentation] トポロジーを考慮した3次元点群深層生成モデル2021

    • Author(s)
      木村匠,松原崇,上原邦昭
    • Organizer
      情報処理学会 コンピュータビジョンとイメージメディア研究会(CVIM2021)
    • Related Report
      2020 Annual Research Report
  • [Presentation] Counterfactual Image Generation using GAN for Fairness2021

    • Author(s)
      綿岡晃輝, 松原崇, 上原邦昭
    • Organizer
      情報処理学会 コンピュータビジョンとイメージメディア研究会(CVIM2021)
    • Related Report
      2020 Annual Research Report
  • [Presentation] クエリの句構造と物体領域の対応づけによる映像検索2021

    • Author(s)
      宇津木駿介,白浜公章
    • Organizer
      2021年電子情報通信学会総合大会
    • Related Report
      2020 Annual Research Report
  • [Presentation] Att-DARTS: Differentiable Neural Architecture Search for Attention2020

    • Author(s)
      Kohei Nakai, Takashi Matsubara and Kuniaki Uehara
    • Organizer
      Proc. of The 2020 International Joint Conference on Neural Networks (IJCNN2020)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Kindai University and Osaka Gakuin University at TRECVID 2020 AVS and ActEV Tasks2020

    • Author(s)
      Daiki Mukai, Ryosuke Utsunomiya, Shunsuke Utsuki, Kimiaki Shirahama, Takashi Matsubara and Kuniaki Uehara
    • Organizer
      Proc. of TREC Video Retrieval Evaluation (TRECVID 2020)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 集合データの共通特徴抽出を利用したFew-shot異常検知2020

    • Author(s)
      佐藤 一輝,中田 智史,松原 崇,上原 邦昭
    • Organizer
      電子情報通信学会 情報論的学習理論と機械学習研究会 (IBISML2020)
    • Related Report
      2020 Annual Research Report
  • [Presentation] 画像データを対象とした異常検知の動向と今後の展望2020

    • Author(s)
      佐藤 一輝,松原 崇,上原 邦昭
    • Organizer
      電子情報通信学会 複雑コミュニケーションサイエンス研究会
    • Related Report
      2020 Annual Research Report
  • [Presentation] 公平性により生じる敵対的攻撃に対する脆弱性2020

    • Author(s)
      綿岡晃輝, 松原 崇, 上原 邦昭
    • Organizer
      Proc. of The 2020 Japanese Society for Artificial Intelligence (JSAI2020)
    • Related Report
      2020 Annual Research Report
  • [Presentation] 注意機構を持った深層ニューラルネットワークの勾配探索2020

    • Author(s)
      中井 康平, 松原 崇, 上原 邦昭
    • Organizer
      Proc. of The 2020 Japanese Society for Artificial Intelligence (JSAI2020)
    • Related Report
      2020 Annual Research Report
  • [Presentation] 知識グラフ上の経路クエリの横断評価モデル2020

    • Author(s)
      濱健太, 松原崇, 上原邦昭
    • Organizer
      Proc. of The 2020 Japanese Society for Artificial Intelligence (JSAI2020)
    • Related Report
      2020 Annual Research Report
  • [Presentation] Att-DARTS: Differentiable Neural Architecture Search for Attention2020

    • Author(s)
      Kohei Nakai, Takashi Matsubara, and Kuniaki Uehara
    • Organizer
      Proc. of The 2020 International Joint Conference on Neural Networks (IJCNN2020)
    • Related Report
      2019 Annual Research Report
  • [Presentation] Cross-modal Music-emotion Retrieval Using DeepCCA2020

    • Author(s)
      Naoki Takashima, Frederic Li, Marcin Grzegorzek and Kimiaki Shirahama
    • Organizer
      Proc. of the Eighth International Conference on Information Technology in Biomedicine (ITIB 2020)
    • Related Report
      2019 Annual Research Report
  • [Presentation] Training Pedestrians' Detector Based on Hybrid Loss with Weak Annotations2020

    • Author(s)
      Boqian Zhou, Hirokazu Nomoto, Takashi Matsubara, and Kuniaki Uehara
    • Organizer
      Proc. of The 8th Korea-Japan Joint Workshop on Complex Communication Sciences (KJCCS)
    • Related Report
      2019 Annual Research Report
  • [Presentation] Neural ODEを用いた超解像ニューラルネットワークの高精度化2020

    • Author(s)
      木村匠, 松原崇, 上原邦昭
    • Organizer
      電子情報通信学会総合大会講演論文集, N-1-26
    • Related Report
      2019 Annual Research Report
  • [Presentation] 深層学習におけるモデルの信頼性評価指標の検討2020

    • Author(s)
      吉田和輝, 松原崇, 上原邦昭
    • Organizer
      電子情報通信学会総合大会講演論文集, N-1-27
    • Related Report
      2019 Annual Research Report
  • [Presentation] 敵対的攻撃に対する公平な分類器の脆弱性2020

    • Author(s)
      綿岡晃輝, 松原崇, 上原邦昭
    • Organizer
      電子情報通信学会総合大会講演論文集, D-12-7
    • Related Report
      2019 Annual Research Report
  • [Presentation] 公平性が引き起こす敵対的攻撃に対する脆弱性2020

    • Author(s)
      綿岡晃輝, 松原崇, 上原邦昭
    • Organizer
      電子情報通信学会 情報論的学習理論と機械学習研究会, vol. 119, no. 476, IBISML2019-48, pp .101-105
    • Related Report
      2019 Annual Research Report
  • [Presentation] 遷移関数とスコア関数の分離による知識グラフの補完2020

    • Author(s)
      濱健太, 松原崇, 上原邦昭
    • Organizer
      電子情報通信学会 情報論的学習理論と機械学習研究会, vol. 119, no. 476, IBISML2019-48, pp. 59-62
    • Related Report
      2019 Annual Research Report
  • [Presentation] Kindai University and Kobe University at TRECVID 2019 AVS Task2019

    • Author(s)
      Kimiaki Shirahama, Daichi Sakurai, Takashi Matsubara and Kuniaki Uehara
    • Organizer
      Proc. of TREC Video Retrieval Evaluation (TRECVID) 2019 Workshop
    • Related Report
      2019 Annual Research Report
  • [Presentation] 自動運転向け物体検出システムのための敵対的昼夜変換2019

    • Author(s)
      藤岡和暉, 松原崇, 上原邦昭
    • Organizer
      電子情報通信学会 情報論的学習理論と機械学習研究会, vol. 119, no. 89, IBISML2019-2, pp. 9-14
    • Related Report
      2019 Annual Research Report
  • [Presentation] ベイズ的深層学習を用いた画像テキスト検索における信頼性評価2019

    • Author(s)
      濱健太, 松原崇, 上原邦昭
    • Organizer
      電子情報通信学会 情報論的学習理論と機械学習研究会, vol. 119, no. 89, IBISML2019-1, pp. 1-8
    • Related Report
      2019 Annual Research Report

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Published: 2019-04-18   Modified: 2024-01-30  

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