Unbalanced optimal transport: A unified framework for object detection

H De Plaen, PF De Plaen… - Proceedings of the …, 2023 - openaccess.thecvf.com
During training, supervised object detection tries to correctly match the predicted bounding
boxes and associated classification scores to the ground truth. This is essential to determine …

Sparse Regularized Optimal Transport with Deformed q-Entropy

H Bao, S Sakaue - Entropy, 2022 - mdpi.com
Optimal transport is a mathematical tool that has been a widely used to measure the
distance between two probability distributions. To mitigate the cubic computational …

Automatic detection of midfacial fractures in facial bone CT images using deep learning-based object detection models

D Morita, A Kawarazaki, M Soufi, Y Otake… - Journal of Stomatology …, 2024 - Elsevier
Background Midfacial fractures are among the most frequent facial fractures. Surgery is
recommended within 2 weeks of injury, but this time frame is often extended because the …

Generating Scene Layout from Textual Descriptions Using Transformer

H Takahashi, S Kuriyama - 2023 10th International Conference …, 2023 - ieeexplore.ieee.org
Creating images through generative AI technology is still challenging because it requires
specifying detailed layouts and contents of objects. This paper introduces a layout …

Detecting Careless Responses in Dataset Annotation using Screen Operation Logs

Y Fukumitsu, Y Matsuda, H Suwa… - … Workshops and other …, 2024 - ieeexplore.ieee.org
Annotation tasks can be conducted through crowd-sourcing to gather training data for
machine learning at a reduced cost. However, the quality of the data collected can vary …

Drowsiness Detection in the Advanced Driver-Assistance System using YOLO V5 Detection Model

MF Ridho, F Panca, W Yandi… - … Jurnal Ilmiah Teknik …, 2024 - jurnalelectron.org
Abstrak The development of Artificial Intelligence (AI) in the automobile industry, particularly
in the Advanced Driver-Assistance System (ADAS), has been increasing rapidly in recent …

A Rail Obstacle Target Detection Technology Based on the Perspective of Unmanned Aerial Vehicle

XY Du, YL Xu, GZ Song, JJ Wang - IEEE International Conference on …, 2022 - Springer
Based on the target detection results of the rail obstacles from the perspective of the UAV, it
can assist in obstacle breaking and landing operations. At present, the rail obstacle target …

Development of an object identification algorithm for the forging industry based on standard vision systems

A Litwa, L Madej - cmms.agh.edu.pl
The work aims to develop an algorithm for identifying objects in a forging plant under
production conditions. Particular emphasis is placed on the accurate detection and tracking …

[PDF][PDF] 固有表現アノテーションにおける画面操作記録を用いた不良回答検出

福光嘉伸, 松田裕貴, 諏訪博彦, 安本慶一 - 研究報告ヒューマン …, 2024 - yukimat.jp
アノテーション作業をクラウドソーシングで行うことにより, 低コストで機械学習のための学習データを
収集できる. しかし, 得られるデータの品質に大きなばらつきがあり, 対価として報酬を付与すると可能 …

[PDF][PDF] クラウドソーシングベースのアノテーションタスクにおける回答の質低下の動的検知

福光嘉伸, フクミツヨシノブ - 2024 - naist.repo.nii.ac.jp
修士論文 クラウドソーシングベースのアノテーションタスクに おける回答の質低下の動的検知 Page
1 修士論文 クラウドソーシングベースのアノテーションタスクに おける回答の質低下の動的検知 福光 …