[HTML][HTML] Pruning by explaining: A novel criterion for deep neural network pruning
The success of convolutional neural networks (CNNs) in various applications is
accompanied by a significant increase in computation and parameter storage costs. Recent …
accompanied by a significant increase in computation and parameter storage costs. Recent …
Energy efficient clustering protocol for FANETS using moth flame optimization
FANET (flying ad-hoc networks) is currently a trending research topic. Unmanned aerial
vehicles (UAVs) have two significant challenges: short flight times and inefficient routing due …
vehicles (UAVs) have two significant challenges: short flight times and inefficient routing due …
Autopruner: An end-to-end trainable filter pruning method for efficient deep model inference
Channel pruning is an important method to speed up CNN model's inference. Previous filter
pruning algorithms regard importance evaluation and model fine-tuning as two independent …
pruning algorithms regard importance evaluation and model fine-tuning as two independent …
[HTML][HTML] A bibliometric analysis of off-line handwritten document analysis literature (1990–2020)
Providing computers with the ability to process handwriting is both important and
challenging, since many difficulties (eg, different writing styles, alphabets, languages, etc.) …
challenging, since many difficulties (eg, different writing styles, alphabets, languages, etc.) …
Benchmarking chinese text recognition: Datasets, baselines, and an empirical study
The flourishing blossom of deep learning has witnessed the rapid development of text
recognition in recent years. However, the existing text recognition methods are mainly …
recognition in recent years. However, the existing text recognition methods are mainly …
Online multi-granularity distillation for gan compression
Abstract Generative Adversarial Networks (GANs) have witnessed prevailing success in
yielding outstanding images, however, they are burdensome to deploy on resource …
yielding outstanding images, however, they are burdensome to deploy on resource …
A compact convolutional neural network augmented with multiscale feature extraction of acquired monitoring data for mechanical intelligent fault diagnosis
Considering all the monitoring data of bearings until failure, very few data are acquired
when the bearings are faulty. Such circumstance leads to small faulty sample problem when …
when the bearings are faulty. Such circumstance leads to small faulty sample problem when …
Literature review of deep learning research areas
Deep learning (DL) is a powerful machine learning field that has achieved considerable
success in many research areas. Especially in the last decade, the-state-of-the-art studies …
success in many research areas. Especially in the last decade, the-state-of-the-art studies …
Handwritten Urdu characters and digits recognition using transfer learning and augmentation with AlexNet
Automated recognition of handwritten characters and digits is a challenging task. Although a
significant amount of literature exists for automatic recognition of handwritten characters of …
significant amount of literature exists for automatic recognition of handwritten characters of …
Deep learning-based data augmentation method and signature verification system for offline handwritten signature
Offline handwritten signature verification is a challenging pattern recognition task. One of the
most significant limitations of the handwritten signature verification problem is inadequate …
most significant limitations of the handwritten signature verification problem is inadequate …