May 21, 2024 · Deep neural network architectures are used with proposed inversion methods and multi augmentation methods to classify the samples of fingerprints for personnel ...
May 16, 2024 · A convolutional neural network (CNN) extracts local spatial features from an image and combines the local spatial features to higher-order features.
May 27, 2024 · Liu and. Bhanu [4] proposed an approach that utilizes a variant of Region-based Convolutional Neural Networks (R-CNNs), which are well-known networks for object ...
May 14, 2024 · [78] introduced a compact model comprising two adaptive graph convolutional neural networks (GCNNs) [79] , collaborating to estimate object and hand poses. To ...
A Review of Personalised Cardiac Computational Modelling Using ...
www.ncbi.nlm.nih.gov › PMC11131150
May 20, 2024 · Based on synthetic data, the method provides a proof of concept that EGM recordings can be used in conjunction with deep neural networks to estimate conduction ...
May 23, 2024 · Automatically Update Interested Papers Daily using Github Actions (Update Every 12th hours) - lidq92/arxiv-daily.
May 30, 2024 · This paper presents the first significant work on directly predicting 3D face landmarks on neural radiance fields (NeRFs). Our 3D coarse-to-fine Face ...
May 31, 2024 · PLS-DA allows peak detection as well as quantitative estimation. The same calibration and validation datasets were employed as used for CNN. For PLS-DA, a set ...
May 13, 2024 · In this paper, we propose a novel Pose Orientation Net (PONet) that is able to robustly estimate 3D pose by learning orientations only, hence bypassing the ...
May 22, 2024 · U-Net is a convolutional neural network. (CNN) architecture that reduces an input im- age to a latent space representation with suc- cessive downsampling. This ...