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SolarNet: A Deep Learning Framework to Map Solar Power Plants in China from S...
A deep learning framework to map solar power plants from large-scale satellite imagery data -
Deep Meta Functionals for Shape Representation
A new method for 3D shape reconstruction from a single image, in which a deep neural network directly maps an image to a vector of network weights. -
Parking Analytics Framework using Deep Learning
A dataset for parking analytics using deep learning and image processing. -
Binary Bits Dataset
The dataset used in this paper is a collection of binary bits, turbo encoded and decoded using the proposed RNN architecture. -
Simulation Framework for Turbo Encoding and Decoding
The dataset used in this paper is a simulation framework for turbo encoding and decoding operations. It consists of four autoencoding problems: one for encoding and three for... -
Urban Street Tree Inventory with Deep Learning on Mobile Phone Imagery
A comprehensive dataset of 400 images of tree trunks, used for training and testing the proposed method for diameter at breast height (DBH) estimation. -
ILMPQ: An Intra-Layer Multi-Precision Deep Neural Network Quantization framew...
ILMPQ: An Intra-Layer Multi-Precision Deep Neural Network Quantization framework for FPGA -
Deep learning-based dataset for computer-aided detection of medical images
Deep learning-based dataset for computer-aided detection of medical images -
FCD dataset for automatic detection of FCD on MRI
Focal cortical dysplasia (FCD) dataset for automatic detection of FCD on magnetic resonance images (MRI) -
DGGO dataset
The dataset used in this paper for testing the DGGO for solving the 1D Burgers equation, 1D time-dependent wave advection equation, 2D Darcy flow equation, and 2D time-dependent... -
Stochastic Deep CDL on MEG
Stochastic Deep CDL on 6 minutes of MEG data with 204 channels and a sampling rate of 150Hz. -
Large-scale clinical EEG dataset for Deep Learning
A large-scale clinical EEG dataset for Deep Learning -
CT-Derived µ-Map Dataset
A large-scale CT-derived µ-map dataset for training and evaluation of low-count PET attenuation map generation -
Population-Prior Generation Machine
A population-prior generation machine for generating population prior information for low-count PET attenuation map generation -
Roboformer: A Unified Deep Learning Framework for Robotic Surgery
A dataset of robotic surgeries with vision-based deep learning -
Training Over-Parameterized Deep Neural Networks
The dataset used in this paper is a collection of training data for over-parameterized deep neural networks. -
Multi-Policy Framework for Deep Learning-Based Fake News Detection
A framework for fake news detection using deep learning techniques
