Results 51 to 60 of about 118,357 (248)

Demystifying ResNet

, 2016
The Residual Network (ResNet), proposed in He et al. (2015), utilized shortcut connections to significantly reduce the difficulty of training, which resulted in great performance boosts in terms of both training and generalization error. It was empirically observed in He et al. (2015) that stacking more layers of residual blocks with shortcut 2 results
Li, Sihan, Jiao, Jiantao, Han, Yanjun, Weissman, Tsachy   +3 more
openaire   +2 more sources

GSEnet: feature extraction of gene expression data and its application to Leukemia classification

Mathematical Biosciences and Engineering, 2022
Gene expression data is highly dimensional. As disease-related genes account for only a tiny fraction, a deep learning model, namely GSEnet, is proposed to extract instructive features from gene expression data.
Kun Yu, Mingxu Huang, Shuaizheng Chen, Chaolu Feng , Wei Li   +4 more
doaj   +1 more source

Speed/accuracy trade-offs for modern convolutional object detectors

, 2017
The goal of this paper is to serve as a guide for selecting a detection architecture that achieves the right speed/memory/accuracy balance for a given application and platform.
Fathi, Alireza, Fischer, Ian, Guadarrama, Sergio, Huang, Jonathan, Korattikara, Anoop, Murphy, Kevin, Rathod, Vivek, Song, Yang, Sun, Chen, Wojna, Zbigniew, Zhu, Menglong   +10 more
core   +1 more source

iSPLInception: An Inception-ResNet Deep Learning Architecture for Human Activity Recognition

IEEE Access, 2021
Advances in deep learning (DL) model design have pushed the boundaries of the areas in which it can be applied. The fields with an immense availability of complex big data have been big beneficiaries of these advances.
M. Ronald, Alwin Poulose, D. Han
semanticscholar   +1 more source

A Hybrid Deep Learning VGG-16 Based SVM Model for Vehicle Type Classification

Journal of Informatics and Web Engineering
Car classification is important in daily life because there are many distinct types of automobiles made by various manufacturers. Although there are numerous methods for classifying autos, machine learning technologies have not been widely utilized ...
Muhammad Imran, Jafar Usman, Muntazir Khan, Abdullah Khan   +3 more
doaj   +1 more source

Identifying Implementation Bugs in Machine Learning based Image Classifiers using Metamorphic Testing

, 2018
We have recently witnessed tremendous success of Machine Learning (ML) in practical applications. Computer vision, speech recognition and language translation have all seen a near human level performance.
Ahuja, Manish, Bose, R. P. Jagadeesh Chandra, Dubash, Neville, Dwarakanath, Anurag, Podder, Sanjay, Rao, Raghotham M., Sikand, Samarth   +6 more
core   +1 more source

Unified deep learning models for enhanced lung cancer prediction with ResNet-50–101 and EfficientNet-B3 using DICOM images

BMC Medical Imaging
Significant advancements in machine learning algorithms have the potential to aid in the early detection and prevention of cancer, a devastating disease.
Vinod Kumar, Chander Prabha, Preeti Sharma, Nitin Mittal, S. S. Askar, Mohamed Abouhawwash   +5 more
semanticscholar   +1 more source

Deep Learning for Glaucoma Detection: R-CNN ResNet-50 and Image Segmentation

Journal of Advances in Information Technology, 2023
—Glaucoma is a leading cause of irreversible blindness worldwide, affecting millions of people. Early diagnosis is essential to reduce visual loss, and various techniques are used for glaucoma detection.
Marlene S. Puchaicela-Lozano, Luis Zhinin-Vera, Ana J. Andrade-Reyes, Dayanna M. Baque-Arteaga, Carolina Cadena-Morejón, Andrés Tirado-Espín, Lenin Ramírez-Cando, D. Almeida-Galárraga, Jonathan Cruz-Varela, Fernando Villalba Meneses   +9 more
semanticscholar   +1 more source

Sacrificing Accuracy for Reduced Computation: Cascaded Inference Based on Softmax Confidence

, 2018
We study the tradeoff between computational effort and accuracy in a cascade of deep neural networks. During inference, early termination in the cascade is controlled by confidence levels derived directly from the softmax outputs of intermediate ...
C Stefano De, LP Cordella, R Fagin, S Leroux, Song Han, V Sze   +5 more
core   +1 more source

Pest Identification Based on Fusion of Self-Attention With ResNet

IEEE Access
Pest identification is a challenging task in the agricultural sector, as accurate and timely detection of pests is essential for effective pest control and crop protection.
S. M. Hassan, Arnab Kumar Maji
semanticscholar   +1 more source