9 citations · 22 across the 5 of their papers we have counts for
5 papers · 1 filter
Attention Modules Improve Modern Image-Level Anomaly Detection: A DifferNet Case Study
André Luiz B. Vieira e Silva, Francisco Simões, Danny Kowerko +3
Within (semi-)automated visual inspection, learning-based approaches for assessing visual defects, including deep neural networks, enable the processing of otherwise small defect p…
Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study
André Luiz Buarque Vieira e Silva, Francisco Simões, Danny Kowerko +3
Within (semi-)automated visual industrial inspection, learning-based approaches for assessing visual defects, including deep neural networks, enable the processing of otherwise sma…
STN PLAD: A Dataset for Multi-Size Power Line Assets Detection in High-Resolution UAV Images
André Luiz Buarque Vieira-e-Silva, Heitor Felix, Thiago de Menezes Chaves +6
Many power line companies are using UAVs to perform their inspection processes instead of putting their workers at risk by making them climb high voltage power line towers, for ins…
Generalizable Multi-Camera 3D Pedestrian Detection
João Paulo Lima, Rafael Roberto, Lucas Figueiredo +2
We present a multi-camera 3D pedestrian detection method that does not need to train using data from the target scene. We estimate pedestrian location on the ground plane using a n…
Squeezed Deep 6DoF Object Detection Using Knowledge Distillation
Heitor Felix, Walber M. Rodrigues, David Macêdo +4
The detection of objects considering a 6DoF pose is a common requirement to build virtual and augmented reality applications. It is usually a complex task which requires real-time…