564 datasets found

The dataset used in the paper is a multi-graph problem, where each graph represents a different network. The dataset is used to evaluate the performance of the RECS algorithm on...

Private OCT dataset used for testing

Open-access OCT dataset used for segmentation pre-training

Open-access OCT datasets used for pre-training and fine-tuning the model

The dataset used in this paper is ResNet20 and VGG16.

The proposed model predicts the agent's emotion against each interaction with a human or against events to make it more cognitive and socially believable.

Deep models have advanced prediction in many domains, but their lack of interpretability remains a key barrier to the adoption in many real world applications. This work...

Generative Adversarial Networks (GANs) consist of two networks: a generator G(z) and a discriminator D(x). The discriminator is trying to distinguish real objects from objects...

The dataset used for training and testing the quantum style-based GAN model for predicting spike protein variation structure of COVID-19 epidemic strains.

The dataset used for training and testing the quantum style-based GAN model for predicting spike protein variation structure of COVID-19 epidemic strains.

Image classification is a fundamental task in computer vision, and the quest to enhance DNN accuracy without inflating model size or latency remains a pressing concern.

Joint optimization of tree-based index and deep model for recommender systems.

RoadTracer is an automatic recognition method of road network system, called RoadTracer. RoadTracer can generate a road map on the ground surface from aerial photograph data.

The proposed framework for image classification tasks, using a hypersphere representation of deep features.

High-resolution diffusion-weighted images (DWIs) from low-resolution DWIs using a deep learning-based super-resolution method entitled “SRDTI” to synthesize high-resolution...

The RSNA dataset contains 26,684 frontal-view chest X-ray images, all of which are labeled as either 0 (no pneumonia) or 1 (pneumonia).

The dataset used in the paper is the Kodak PhotoCD dataset, which contains twenty-four 768 × 512 images.

Rain retrieval algorithm DRAIN using deep learning techniques

A lightweight deep learning-based cloud detection method for Sentinel-2A imagery fusing multi-scale spectral and spatial features

Supervised learning of deep neural networks heavily relies on large-scale datasets annotated by high-quality labels. In contrast, mislabeled samples can significantly degrade...