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most citedAttention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study

4 citations · 5 across the 5 of their papers we have counts for

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cs.CV2026

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…

cs.CV2024

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…

cs.CV20241 cited

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…

cs.CV20234 cited

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…

cs.CV2023

Toward unlabeled multi-view 3D pedestrian detection by generalizable AI: techniques and performance analysis

João Paulo Lima, Diego Thomas, Hideaki Uchiyama +1

We unveil how generalizable AI can be used to improve multi-view 3D pedestrian detection in unlabeled target scenes. One way to increase generalization to new scenes is to automati…

cs.CV2023

High-Level Context Representation for Emotion Recognition in Images

Willams de Lima Costa, Estefania Talavera Martinez, Lucas Silva Figueiredo +1

Emotion recognition is the task of classifying perceived emotions in people. Previous works have utilized various nonverbal cues to extract features from images and correlate them…