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Deep-Flow-Prediction
The dataset used for training and testing the deep learning models for Reynolds-Averaged Navier-Stokes simulations of airfoil flows. -
Deep Face Recognition
The VGGFace dataset is a large-scale face recognition dataset containing over 2.6 million images of 9,131 subjects. -
COVIDx dataset
The COVIDx dataset is a combination of many publicly available datasets for COVID-19 image classification. -
The Theoretical Expressiveness of Maxpooling
The dataset used in this paper is not explicitly described, but it is mentioned that the authors examined the trend away from max pooling in newer architectures. -
DeepLabCut dataset
DeepLabCut dataset for pose estimation -
Deep Attention Recurrent Q-Network
The Deep Attention Recurrent Q-Network (DARQN) algorithm was tested on several popular Atari 2600 games: Breakout, Seaquest, Space Invaders, Tutankham, and Gopher. -
Bottleneck Layer
The dataset used in this paper is a Bottleneck layer, which is a type of convolutional neural network layer. The dataset is used to evaluate the performance of the proposed... -
BIMCV-COVID19 Dataset
BIMCV-COVID19 Dataset -
GraphXCOVID
GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays -
COVID-19 Detection from X-ray Images
The dataset for COVID-19 detection from X-ray images of the chest. -
Proposed Framework
The proposed framework aims to address the limitations of deep learning applications for ECG signal classification. Secondly, we proposed a new classifier for ECG signals. When... -
BERT: Pre-training of deep bidirectional transformers for language understanding
This paper proposes BERT, a pre-trained deep bidirectional transformer for language understanding. -
Selecting Receptive Fields in Deep Networks
The authors used the CIFAR-10 dataset for evaluating the quality of unsupervised representation learning algorithms. -
DDP: Diffusion Model for Dense Visual Prediction
The DDP framework is a simple, efficient, and powerful framework for dense visual predictions based on conditional diffusion. -
A Deep Learning-based in silico Framework for Optimization on Retinal Prosthe...
A neural network-based framework to optimize the perceptions simulated by the in silico retinal implant model pulse2percept. -
One-Bit OFDM Receivers via Deep Learning
The dataset used in this paper for channel estimation and data detection with one-bit ADCs. -
SSIMLayer: Towards Robust Deep Representation Learning via Nonlinear Structur...
The proposed SSIMLayer is a new nonlinear computational layer of high learning capacity to the deep convolutional neural network architectures. -
A Cost-Sensitive Deep Belief Network for Imbalanced Classification
Imbalanced data with a skewed class distribution are common in many real-world applications. Deep Belief Network (DBN) is a machine learning technique that is effective in...
