142 datasets found

Text classification based on Multiple Block Convolutional Highways

Convolutional Neural Network (CNN) has demonstrated its success in plentiful computer vision application, but typically accompanies high computation cost and numerous redundant...

Dynamic PET image reconstruction dataset

A dataset for breast cancer histopathological image classification

Breast cancer detection using histopathological images

The proposed HPAN model uses pixel attention for better image quality than FSRCNN but keeps the structure simple for small model size and low complexity.

This dataset is used to train a Convolutional Neural Network (CNN) to classify objects from web images. The dataset is created by downloading images from the web using a query...

The dataset used in this paper is the VGG Network E, a deep convolutional neural network for image recognition.

Convolutional neural networks (CNNs) are ubiquitous in computer vision, with a myriad of effective and efficient variations. Recently, Transformers – originally introduced in...

The SPL2018 and DsTok datasets for computer-generated image detection

The proposed dual stream convolutional neural network for computer-generated image detection

The dataset used in the paper is LeNet, a convolutional neural network for image classification.

SqueezeNet is a small CNN that performs well on the ImageNet data set.

The dataset used in this paper is a large variety of popular CNN models, such as straight-forward, complicated-connected, and grouped architectures.

Dataset used for training and testing Convolutional Neural Networks for detecting trypophobia triggers.

The dataset used in this paper is a collection of pre-trained convolutional neural networks trained on ImageNet.

This paper proposes a convolutional neural network hardware accelerator based on field programmable logic gate array (FPGA).

Human pose estimation using Convolutional Neural Networks

The dataset is used for automatic method for detecting Age-related Macular Degeneration (AMD) lesions in RGB eye fundus images.

The dataset used for training and testing Binarized Convolutional Neural Network architectures (LeNet-4, Network-In-Network, AlexNet) on various datasets.