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Found 13 papers, 6 papers with code
Logo Generation Using Regional Features: A Faster R-CNN Approach to Generative Adversarial Networks
In this paper we introduce Local Logo Generative Adversarial Network (LL-GAN) that uses regional features extracted from Faster R-CNN for logo generation.
One Shot Model For COVID-19 Classification and Lesions Segmentation In Chest CT Scans Using LSTM With Attention Mechanism
We present a model that fuses instance segmentation, Long Short-Term Memory Network and Attention mechanism to predict COVID-19 and segment chest CT scans.
One Shot Model For The Prediction of COVID-19 and Lesions Segmentation In Chest CT Scans Through The Affinity Among Lesion Mask Features
The novelty of the methodology is based on the computation of the affinity between the lesion masks’ features extracted from the image.
Single-Shot Lightweight Model For The Detection of Lesions And The Prediction of COVID-19 From Chest CT Scans
We introduce a lightweight model based on Mask R-CNN with ResNet18 and ResNet34 backbone models that segments lesions and predicts COVID-19 from chest CT scans in a single shot.
Lightweight Model For The Prediction of COVID-19 Through The Detection And Segmentation of Lesions in Chest CT Scans
We introduce a lightweight Mask R-CNN model that segments areas with the Ground Glass Opacity and Consolidation in chest CT scans.
Detection and Segmentation of Lesion Areas in Chest CT Scans For The Prediction of COVID-19
These lesion areas are often associated both with common pneumonia and COVID-19.
COVID-CT-Mask-Net: Prediction of COVID-19 from CT Scans Using Regional Features
We present COVID-CT-Mask-Net model that predicts COVID-19 from CT scans.
Network of Steel: Neural Font Style Transfer from Heavy Metal to Corporate Logos
We establish the contribution of different layers and loss coefficients to the learning of style, minimization of artefacts and maintenance of readability of corporate logos.
Beef Cattle Instance Segmentation Using Fully Convolutional Neural Network
We present an instance segmentation algorithm trained and applied to a CCTV recording of beef cattle during a winter finishing period.
Bootstrapping Labelled Dataset Construction for Cow Tracking and Behavior Analysis
This paper introduces a new approach to the long-term tracking of an object in a challenging environment.
K-Bit-Swap: A New Operator For Real-Coded Evolutionary Algorithms
There has been a variety of crossover operators proposed for Real-Coded Genetic Algorithms (RCGAs), which recombine values from the same location in pairs of strings.
Incremental Adaptation Strategies for Neural Network Language Models
We present efficient techniques to adapt a neural network language model to new data.
Derivation of Upper Bounds on Optimization Time of Population-Based Evolutionary Algorithm on a Function with Fitness Plateaus Using Elitism Levels Traverse Mechanism
In this article a tool for the analysis of population-based EAs is used to derive asymptotic upper bounds on the optimization time of the algorithm solving Royal Roads problem, a test function with plateaus of fitness.
