142 datasets found

Facial expression recognition has been an active area in computer vision with application areas including animation, social robots, personalized banking, etc. In this study,...

The dataset used in the paper is Stanford Car, a fine-grained image classification dataset.

A dataset of 240,000 sequences of signal power values, used to train a convolutional neural network for reflective event detection, localization, and characterization in fiber...

Human Activity Recognition using Continuous Wavelet Transform and Convolutional Neural Networks

The ALeRCE Stamp Classifier is a convolutional neural network that classifies astronomical events into five classes: Active Galactic Nuclei, Supernovae, Variable Stars,...

The dataset used in the paper is ResNet-20 and ResNet-SVM-20, two types of convolutional neural networks.

Pooling is a simple but widely used layer in modern deep CNN architectures for feature aggregation and extraction. Typical CNN design focuses on the conv layers and activation...

Sales forecast is an essential task in E-commerce and has a crucial impact on making informed business decisions. It can help us to manage the workforce, cash flow and resources...

StoManager1: An automated, high-throughput tool to measure leaf stomata using convolutional neural networks.

A new loss function, namely Wing loss, for robust facial landmark localisation with Convolutional Neural Networks (CNNs).

The dataset used for unsupervised image-to-image translation, consisting of a set of images from Google Maps.

The proposed method alternates classification and introspection. The introspection phase employs a strategy to select a sub-window for the next step by applying a beam-search to...

The NASBench-101 dataset is a large-scale benchmark for neural architecture search. It contains nearly 423K unique convolutional neural network architectures with diverse...

The dataset used in this paper is a convolutional neural network (CNN) model, specifically ConvNeXt.

The dataset used in this paper is a convolutional neural network (CNN) model, specifically ResNet-34, and its layers 20 and 28.

A dataset of star cluster candidates in the M83 galaxy, detected using a convolutional neural network

A catalog of visual-like morphologies in the 5 Candels fields using deep-learning

A catalog of broad morphology of SDSS galaxies

A catalog of broad morphology of Pan-STARRS galaxies based on deep learning

Face shape classification using Inception v3