Blockchain for deep learning: review and open challenges
Deep learning has gained huge traction in recent years because of its potential to make
informed decisions. A large portion of today's deep learning systems are based on …
informed decisions. A large portion of today's deep learning systems are based on …
Recent advances in baggage threat detection: A comprehensive and systematic survey
X-ray imagery systems have enabled security personnel to identify potential threats
contained within the baggage and cargo since the early 1970s. However, the manual …
contained within the baggage and cargo since the early 1970s. However, the manual …
Tensor pooling-driven instance segmentation framework for baggage threat recognition
Automated systems designed for screening contraband items from the X-ray imagery are still
facing difficulties with high clutter, concealment, and extreme occlusion. In this paper, we …
facing difficulties with high clutter, concealment, and extreme occlusion. In this paper, we …
An incremental learning approach to automatically recognize pulmonary diseases from the multi-vendor chest radiographs
The human respiratory network is a vital system that provides oxygen supply and
nourishment to the whole body. Pulmonary diseases can cause severe respiratory …
nourishment to the whole body. Pulmonary diseases can cause severe respiratory …
A novel incremental learning driven instance segmentation framework to recognize highly cluttered instances of the contraband items
Screening cluttered and occluded contraband items from baggage X-ray scans is a
cumbersome task even for the expert security staff. This article presents a novel strategy that …
cumbersome task even for the expert security staff. This article presents a novel strategy that …
Enhancing security in X-ray baggage scans: A contour-driven learning approach for abnormality classification and instance segmentation
The task of automatically identifying hazardous items in luggage through X-ray scans is
highly crucial, yet immensely complex. This method presents an improvement over the …
highly crucial, yet immensely complex. This method presents an improvement over the …
Unsupervised anomaly instance segmentation for baggage threat recognition
Identifying potential threats concealed within the baggage is of prime concern for the
security staff. Many researchers have developed frameworks that can automatically detect …
security staff. Many researchers have developed frameworks that can automatically detect …
Incremental cross-domain adaptation for robust retinopathy screening via Bayesian deep learning
Retinopathy represents a group of retinal diseases that, if not treated timely, can cause
severe visual impairments or even blindness. Many researchers have developed …
severe visual impairments or even blindness. Many researchers have developed …
Knowledge distillation driven instance segmentation for grading prostate cancer
Prostate cancer (PCa) is one of the deadliest cancers in men, and identifying cancerous
tissue patterns at an early stage can assist clinicians in timely treating the PCa spread. Many …
tissue patterns at an early stage can assist clinicians in timely treating the PCa spread. Many …
Deep learning for object detection, classification and tracking in industry applications
Object detection, classification and tracking are three important computer vision techniques.
They are cornerstones in the development of complex image and video analysis solutions …
They are cornerstones in the development of complex image and video analysis solutions …