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Deep Geometric Moment (DGM) Model
The proposed model consists of three components: 1) Coordinate base computation: uses a 2D coordinate grid as input and generates the bases, 2) Image feature computation:... -
Improving Shape Awareness and Interpretability in Deep Networks Using Geometr...
Deep networks for image classification often rely more on texture information than object shape. This paper presents a deep-learning model inspired by geometric moments, a... -
COVID-19 detection using chest X-rays: is lung segmentation important for gen...
A large DNN, containing 3 stacked modules. The segmentation module is an U-Net, trained beforehand to receive X-rays and output segmentation masks. -
LSUN Bedrooms
The dataset used in the paper is the LSUN bedrooms dataset, a large-scale image dataset. -
Adam: A method for stochastic optimization
This dataset is used to test the robustness of watermarking methods against adaptive attacks. -
AACHER: Assorted Actor-Critic Deep Reinforcement Learning with Hindsight Expe...
Actor-Critic Deep Reinforcement Learning with Hindsight Experience Replay -
Transformer-based Map Matching Model with Limited Ground-Truth Data using Tra...
This study proposes a framework for developing a novel deep learning-based map-matching model in the limited ground-truth data environment. -
Benchmarking of Deep Learning models on 2D Laminar Flow behind Cylinder
The dataset is used for benchmarking deep learning models on 2D laminar flow behind cylinder -
Vector Field Network (VFN) for De Novo Protein Design
The dataset used in the paper for de novo protein design using geometric vector field networks. -
Segmentation dataset for jet flames
The dataset used for training and testing the UNet and Attention UNet models for segmentation of radiation zones within the jet flames. -
Validation dataset for Pix2Pix model
The dataset used for training and testing the Pix2Pix model for generating artificial IR images from visible ones. -
ACDC Dataset
The ACDC dataset is a large-scale dataset containing images of urban scenes under different weather conditions. -
Dual Policy Distillation
The dataset used in the paper is a continuous control task dataset. -
A deep learning framework for assessing physical rehabilitation exercises
A deep learning framework for assessing physical rehabilitation exercises. -
Morse Neural Networks for Uncertainty Quantification
The Morse neural network is a deep generative model useful for uncertainty quantification. -
Deep learning for ultrasound image formation: Cubdl evaluation framework and ...
Deep learning for ultrasound image formation: Cubdl evaluation framework and open datasets. -
Synthetic Vasculature Phantom Dataset
Photoacoustic tomography (PAT) datasets for neuroimaging with deep learning -
Lung Vasculature Dataset
Photoacoustic tomography (PAT) datasets for neuroimaging with deep learning
