Learning visual relationship and context-aware attention for image captioning
Image captioning which automatically generates natural language descriptions for images
has attracted lots of research attentions and there have been substantial progresses with …
has attracted lots of research attentions and there have been substantial progresses with …
Darkdetect: Darknet traffic detection and categorization using modified convolution-long short-term memory
Darknet is commonly known as the epicenter of illegal online activities. An analysis of
darknet traffic is essential to monitor real-time applications and activities running over the …
darknet traffic is essential to monitor real-time applications and activities running over the …
Classifying suspicious content in tor darknet through Semantic Attention Keypoint Filtering
One of the tasks Law Enforcement Agencies are responsible for is to find evidence of
criminal activities in the Darknet. However, visiting thousands of domains to locate visual …
criminal activities in the Darknet. However, visiting thousands of domains to locate visual …
A broad generative network for two-stage image outpainting
Image outpainting is a challenge for image processing since it needs to produce a big
scenery image from a few patches. In general, two-stage frameworks are utilized to unpack …
scenery image from a few patches. In general, two-stage frameworks are utilized to unpack …
[HTML][HTML] Multi-head enhanced self-attention network for novelty detection
One-class classification (OCC) is a classical problem in computer vision that can be
described as the task of classifying outlier class samples (OC samples) from the OCC model …
described as the task of classifying outlier class samples (OC samples) from the OCC model …
Improving named entity recognition in noisy user-generated text with local distance neighbor feature
Recognizing infrequent or emerging named entities in a user-generated text is a challenging
task, especially when informal or slang text is used. Some recent works propose to use a …
task, especially when informal or slang text is used. Some recent works propose to use a …
Perceptual image hashing based on frequency dominant neighborhood structure applied to Tor domains recognition
Abstract Tor (The Onion Router) is one of the most famous anonymous networks in the Deep
Web. It provides a wide range of legal and illegal hidden services to the user. Recognizing …
Web. It provides a wide range of legal and illegal hidden services to the user. Recognizing …
Detecting vulnerabilities in critical infrastructures by classifying exposed industrial control systems using deep learning
Featured Application We present a deep-learning-based pipeline to solve a novel problem
in Cybersecurity and Industry 4.0. Our proposal, which automatically classifies screenshots …
in Cybersecurity and Industry 4.0. Our proposal, which automatically classifies screenshots …
[PDF][PDF] File Name Classification Approach to Identify Child Sexual Abuse.
When Law Enforcement Agencies seize a computer machine from a potential producer or
consumer of Child Sexual Exploitation Material (CSEM), they need accurate and time …
consumer of Child Sexual Exploitation Material (CSEM), they need accurate and time …
Semantic embedded deep neural network: A generic approach to boost multi-label image classification performance
Fine-grained multi-label classification models have broad applications in e-commerce, such
as visual based label predictions ranging from fashion attribute detection to brand …
as visual based label predictions ranging from fashion attribute detection to brand …