7 papers · 1 filter
A New Dataset and Framework for Robust Road Surface Classification via Camera-IMU Fusion
Willams de Lima Costa, Thifany Ketuli Silva de Souza, Jonas Ferreira Silva +12
Road surface classification (RSC) is a key enabler for environment-aware predictive maintenance systems. However, existing RSC techniques often fail to generalize beyond narrow ope…
VWise: A novel benchmark for evaluating scene classification for vehicular applications
Pedro Azevedo, Emanuella Araújo, Gabriel Pierre +5
Current datasets for vehicular applications are mostly collected in North America or Europe. Models trained or evaluated on these datasets might suffer from geographical bias when…
ST-Gait++: Leveraging spatio-temporal convolutions for gait-based emotion recognition on videos
Maria Luísa Lima, Willams de Lima Costa, Estefania Talavera Martinez +1
Emotion recognition is relevant for human behaviour understanding, where facial expression and speech recognition have been widely explored by the computer vision community. Litera…
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…
InsPLAD: A Dataset and Benchmark for Power Line Asset Inspection in UAV Images
André Luiz Buarque Vieira e Silva, Heitor de Castro Felix, Franscisco Paulo Magalhães Simões +5
Power line maintenance and inspection are essential to avoid power supply interruptions, reducing its high social and financial impacts yearly. Automating power line visual inspect…
Leveraging Previous Facial Action Units Knowledge for Emotion Recognition on Faces
Pietro B. S. Masur, Willams Costa, Lucas S. Figueredo +1
People naturally understand emotions, thus permitting a machine to do the same could open new paths for human-computer interaction. Facial expressions can be very useful for emotio…