- Hybrid deep learning approach to improve classification of low ...🔍
- Hybrid Approaches for Image and Video Processing🔍
- Artificial intelligence|based hybrid deep learning models for image ...🔍
- Hybrid approaches🔍
- Fine|grained image classification method based on hybrid attention ...🔍
- An Exploratory of Hybrid Techniques on Deep Learning for Image ...🔍
- Hybrid Approaches To Image Classification🔍
- A hybrid approach of simultaneous segmentation and classification ...🔍
Hybrid Approaches To Image Classification
Hybrid deep learning approach to improve classification of low ...
A hybrid learning approach is proposed that first trains a deep network on the training data, extracts features from the deep network, and then uses these ...
Hybrid Approaches for Image and Video Processing
Description. In the last two decades, the focus of digital image processing and computer vision research community was on low-level, mid-level feature ...
Artificial intelligence-based hybrid deep learning models for image ...
The task of image classification became much easier with machine learning (ML) and subsequently got automated and more accurate by using deep learning (DL). By ...
Hybrid approaches - (Images as Data) - Fiveable
... image databases. By integrating various data types and processing methods, hybrid approaches allow for better data management, retrieval, and analysis of images ...
Fine-grained image classification method based on hybrid attention ...
This study introduces a new network model for fine-grained image classification, which utilizes a hybrid attention approach.
An Exploratory of Hybrid Techniques on Deep Learning for Image ...
Images are classified based on texture, size, color and morphology. Neural Networks, ImageNet, VGG16, AlexNet are renowned image recognition techniques used to ...
(PDF) A hybrid approach classification of remote sensing images
A hybrid approach classification, which combines pixels and objects, has been shown to be suitable for the identification of Landscape Units.
Hybrid Approaches To Image Classification | Restackio
In the realm of image classification, hybrid approaches have emerged as a powerful strategy to enhance the performance of classification ...
A hybrid approach of simultaneous segmentation and classification ...
Therefore, this study proposed a hybrid hierarchical approach, SSC (Simultaneous Segmentation and Classification), integrating image ...
A Hybrid Approach for Image Acquisition Methods Based on Feature ...
This paper presents a novel hybrid approach to feature detection designed specifically for enhancing Feature-Based Image Registration (FBIR).
High Resolution Remote Sensing Image Classification Using Hybrid ...
In this paper the hybrid ensemble learning method is proposed, which combines three kinds of networks: fully connected network, convolutional neural network, ...
Artificial intelligence-based hybrid deep learning models for image ...
In the hybridization process, stages one and two of the DL architectures are used for feature extraction and classification tasks. This type of HDL model deals ...
A hybrid approach for medical images classification and ...
This research introduced a novel hybrid classification model by fusing support vector machines and k-nearest neighbor classification techniques.
A New Proposed Hybrid Learning Approach with Features for ...
This study proposes a new approach of “hybrid learning” by combining deep learning with machine learning for image classification based on convolutional ...
An Image Classification and Retrieval Hybrid Model for Larger ...
The objective of this work is to obtain an efficient medical image retrieval and classification from a larger healthcare datasets using Novel approach.
SA-ConvNeXt: A Hybrid Approach for Flower Image Classification ...
SA-ConvNeXt can effectively capture more accurate key features of flower images, providing an effective technical means for flower recognition and ...
Hybrid Approaches to Image Coding: A Review - ResearchGate
Hybrid coding of images, in this context, deals with combining two or more traditional approaches to enhance the individual methods and achieve better-quality ...
Image classification in computer vision applications can be divided into feature extraction and machine learning based prediction. In computer vision, machine ...
A hybrid deep learning approach for COVID-19 detection based on ...
They used the SVM in the classification stage. Their results showed that the traditional classification model, which combined the LBP method and ...
A Hybrid Approach for Large-Scale Image Classification
For retrieving images by semantic keywords and avoiding manually annotation by users, high-accurate image classification is required. In this ...