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Comparison Between 4D and 2D Ultrasound in Detection of The Causes of Oligohydramnios (An Observation Study) [PDF]
Egyptian Journal of Medical Research, 2022 The objective of this study is to compare between 2D and 4D Ultrasound in the detection of the causes of Oligohydramnios. A total 100 pregnant women with oligohydraminos were included in this study.
Amira El gamel +2 more
doaj +1 more source
DreamFusion: Text-to-3D using 2D Diffusion [PDF]
International Conference on Learning Representations, 2022 Recent breakthroughs in text-to-image synthesis have been driven by diffusion models trained on billions of image-text pairs. Adapting this approach to 3D synthesis would require large-scale datasets of labeled 3D data and efficient architectures for ...
Ben Poole +3 more
semanticscholar +1 more source
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis [PDF]
International Conference on Learning Representations, 2022 Time series analysis is of immense importance in extensive applications, such as weather forecasting, anomaly detection, and action recognition. This paper focuses on temporal variation modeling, which is the common key problem of extensive analysis ...
Haixu Wu +5 more
semanticscholar +1 more source
MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D biomedical image classification [PDF]
Scientific Data, 2021 Measurement(s) supervised machine learning Technology Type(s) machine learning We introduce MedMNIST v2 , a large-scale MNIST-like dataset collection of standardized biomedical images, including 12 datasets for 2D and 6 datasets for 3D.
Jiancheng Yang +7 more
semanticscholar +1 more source
วารสารวิทยาการสารสนเทศและเทคโนโลยีประยุกต์, 2021 The aim of this research is to 1) Development of 2D animation cartoon “The Rage”. 2) Study the perception of the samples after watching 2D animation cartoon “The Rage”.
Nattapol Promrin +3 more
doaj +1 more source
Neuromorphic photonics: 2D or not 2D? [PDF]
Journal of Applied Physics, 2021 The computing industry is rapidly moving from a programming to a learning area, with the reign of the von Neumann architecture starting to fade, after many years of dominance. The new computing paradigms of non-von Neumann architectures have started leading to the development of emerging artificial neural network (ANN)-based analog electronic ...
R. Stabile +5 more
openaire +1 more source
OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 Realtime multi-person 2D pose estimation is a key component in enabling machines to have an understanding of people in images and videos. In this work, we present a realtime approach to detect the 2D pose of multiple people in an image.
Zhe Cao +4 more
semanticscholar +1 more source
Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation [PDF]
Computer Vision and Pattern Recognition, 2022 A diffusion model learns to predict a vector field of gradients. We propose to apply chain rule on the learned gradients, and back-propagate the score of a diffusion model through the Jacobian of a differentiable renderer, which we instantiate to be a ...
Haochen Wang +4 more
semanticscholar +1 more source
Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields [PDF]
Computer Vision and Pattern Recognition, 2016 We present an approach to efficiently detect the 2D pose of multiple people in an image. The approach uses a nonparametric representation, which we refer to as Part Affinity Fields (PAFs), to learn to associate body parts with individuals in the image ...
Zhe Cao, T. Simon, S. Wei, Yaser Sheikh
semanticscholar +1 more source
GIS 3D and Science of Augmented Reality: Modeling a 3D Geospatial Environment [PDF]
Journal of Soft Computing in Civil Engineering, 2019 The objective of this paper is to integrate all the 3D data into a Geographic Information System (GIS), from *.skp files that it modeled by applying augmented reality (AR).
Adel Fridhi, Ali Frihida
doaj +1 more source