A comprehensive survey of deep learning for image captioning
Generating a description of an image is called image captioning. Image captioning requires
recognizing the important objects, their attributes, and their relationships in an image. It also …
recognizing the important objects, their attributes, and their relationships in an image. It also …
[HTML][HTML] Dermoscopic skin lesion image segmentation based on Local Binary Pattern Clustering: Comparative study
Accurate skin lesion segmentation is important for identification and classification through
computational methods. However, when performed by dermatologists, the results of clinical …
computational methods. However, when performed by dermatologists, the results of clinical …
Semantics for robotic map**, perception and interaction: A survey
For robots to navigate and interact more richly with the world around them, they will likely
require a deeper understanding of the world in which they operate. In robotics and related …
require a deeper understanding of the world in which they operate. In robotics and related …
A new approach for computer-aided detection of coronavirus (COVID-19) from CT and X-ray images using machine learning methods
A Saygılı - Applied Soft Computing, 2021 - Elsevier
The COVID-19 outbreak has been causing a global health crisis since December 2019. Due
to this virus declared by the World Health Organization as a pandemic, the health authorities …
to this virus declared by the World Health Organization as a pandemic, the health authorities …
Cnn-based density estimation and crowd counting: A survey
CloudNet: Ground‐based cloud classification with deep convolutional neural network
J Zhang, P Liu, F Zhang, Q Song - Geophysical Research …, 2018 - Wiley Online Library
Clouds have an enormous influence on the Earth's energy balance, climate, and weather.
Cloud types have different cloud radiative effects, which is an essential indicator of the cloud …
Cloud types have different cloud radiative effects, which is an essential indicator of the cloud …
Content based image retrieval using image features information fusion
KT Ahmed, S Ummesafi, A Iqbal - Information Fusion, 2019 - Elsevier
Recent image retrieval techniques are focusing on multiple image features for the efficient
image retrieval. It has been an inevitable requirement to fetch the images from a variety of …
image retrieval. It has been an inevitable requirement to fetch the images from a variety of …
Unsupervised representation learning with deep convolutional neural network for remote sensing images
With the rapid growth in quantity and quality of remote sensing images, extracting the useful
information in them effectively and efficiently becomes feasible but also challenging …
information in them effectively and efficiently becomes feasible but also challenging …