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02/16/2022
Anomalib: A Deep Learning Library for Anomaly Detection
This paper introduces anomalib, a novel library for unsupervised anomaly...
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01/07/2022
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 sca...
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08/22/2021
Tensor Pooling Driven Instance Segmentation Framework for Baggage Threat Recognition
Automated systems designed for screening contraband items from the X-ray...
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07/15/2021
Unsupervised Anomaly Instance Segmentation for Baggage Threat Recognition
Identifying potential threats concealed within the baggage is of prime c...
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12/09/2020
Multi-Model Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation
Robust semantic scene segmentation for automotive applications is a chal...
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12/09/2020
Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding via Domain Adaptation
Automotive scene understanding under adverse weather conditions raises a...
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09/28/2020
Trainable Structure Tensors for Autonomous Baggage Threat Detection Under Extreme Occlusion
Detecting baggage threats is one of the most difficult tasks, even for e...
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04/19/2020
Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation
Whilst face recognition applications are becoming increasingly prevalent...
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04/14/2020
Cascaded Structure Tensor Framework for Robust Identification of Heavily Occluded Baggage Items from X-ray Scans
In the last two decades, baggage scanning has globally become one of the...
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01/05/2020
Towards Automatic Threat Detection: A Survey of Advances of Deep Learning within X-ray Security Imaging
X-ray security screening is widely used to maintain aviation/transport s...
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12/11/2019
Online Deep Reinforcement Learning for Autonomous UAV Navigation and Exploration of Outdoor Environments
With the rapidly growing expansion in the use of UAVs, the ability to au...
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12/09/2019
Deep CMST Framework for the Autonomous Recognition of Heavily Occluded and Cluttered Baggage Items from Multivendor Security Radiographs
Since the last two decades, luggage scanning has become one of the prime...
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11/20/2019
Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery
X-ray imagery security screening is essential to maintaining transport s...
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11/19/2019
On the Impact of Object and Sub-component Level Segmentation Strategies for Supervised Anomaly Detection within X-ray Security Imagery
X-ray security screening is in widespread use to maintain transportation...
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09/17/2019
Multi-Task Learning for Automotive Foggy Scene Understanding via Domain Adaptation to an Illumination-Invariant Representation
Joint scene understanding and segmentation for automotive applications i...
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07/18/2019
Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments
Increased growth in the global Unmanned Aerial Vehicles (UAV) (drone) in...
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04/10/2019
Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery
X-ray baggage security screening is widely used to maintain aviation and...
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01/25/2019
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection
Despite inherent ill-definition, anomaly detection is a research endeavo...
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05/17/2018