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A survey on instance segmentation: state of the art
Object detection or localization is an incremental step in progression from coarse to fine
digital image inference. It not only provides the classes of the image objects, but also …
digital image inference. It not only provides the classes of the image objects, but also …
An overview of bag of words; importance, implementation, applications, and challenges
In the past fifteen years, the grow of using Bag of Words (BoW) method in the field of
computer vision is visibly observed. In addition,-for the text classification and texture …
computer vision is visibly observed. In addition,-for the text classification and texture …
Binary neural networks: A survey
The binary neural network, largely saving the storage and computation, serves as a
promising technique for deploying deep models on resource-limited devices. However, the …
promising technique for deploying deep models on resource-limited devices. However, the …
Deep learning for generic object detection: A survey
Object detection, one of the most fundamental and challenging problems in computer vision,
seeks to locate object instances from a large number of predefined categories in natural …
seeks to locate object instances from a large number of predefined categories in natural …
Texture feature extraction methods: A survey
A Humeau-Heurtier - IEEE access, 2019 - ieeexplore.ieee.org
Texture analysis is used in a very broad range of fields and applications, from texture
classification (eg, for remote sensing) to segmentation (eg, in biomedical imaging), passing …
classification (eg, for remote sensing) to segmentation (eg, in biomedical imaging), passing …
Denoising prior driven deep neural network for image restoration
Deep neural networks (DNNs) have shown very promising results for various image
restoration (IR) tasks. However, the design of network architectures remains a major …
restoration (IR) tasks. However, the design of network architectures remains a major …
Brain tumor detection using statistical and machine learning method
Abstract Background and Objective Brain tumor occurs because of anomalous development
of cells. It is one of the major reasons of death in adults around the globe. Millions of deaths …
of cells. It is one of the major reasons of death in adults around the globe. Millions of deaths …
From BoW to CNN: Two decades of texture representation for texture classification
Texture is a fundamental characteristic of many types of images, and texture representation
is one of the essential and challenging problems in computer vision and pattern recognition …
is one of the essential and challenging problems in computer vision and pattern recognition …
An integrated design of particle swarm optimization (PSO) with fusion of features for detection of brain tumor
Tumor in brain is a major cause of death in human beings. If not treated properly and timely,
there is a high chance of it to become malignant. Therefore, brain tumor detection at an …
there is a high chance of it to become malignant. Therefore, brain tumor detection at an …
Binary patterns encoded convolutional neural networks for texture recognition and remote sensing scene classification
Designing discriminative powerful texture features robust to realistic imaging conditions is a
challenging computer vision problem with many applications, including material recognition …
challenging computer vision problem with many applications, including material recognition …