no code implementations • 13 Jan 2024 • André Luiz B. Vieira e Silva, Francisco Simões, Danny Kowerko, Tobias Schlosser, Felipe Battisti, Veronica Teichrieb
Within (semi-)automated visual inspection, learning-based approaches for assessing visual defects, including deep neural networks, enable the processing of otherwise small defect patterns in pixel size on high-resolution imagery.
1 code implementation • 5 Nov 2023 • André Luiz Buarque Vieira e Silva, Francisco Simões, Danny Kowerko, Tobias Schlosser, Felipe Battisti, Veronica Teichrieb
Within (semi-)automated visual industrial inspection, learning-based approaches for assessing visual defects, including deep neural networks, enable the processing of otherwise small defect patterns in pixel size on high-resolution imagery.
Ranked #1 on Anomaly Detection on InsPLAD
no code implementations • 12 Apr 2021 • João Paulo Lima, Rafael Roberto, Lucas Figueiredo, Francisco Simões, Veronica Teichrieb
We present a multi-camera 3D pedestrian detection method that does not need to train using data from the target scene.
2 code implementations • 30 Mar 2020 • Heitor Felix, Walber M. Rodrigues, David Macêdo, Francisco Simões, Adriano L. I. Oliveira, Veronica Teichrieb, Cleber Zanchettin
We used the LINEMOD dataset to evaluate the proposed method, and the experimental results show that the proposed method reduces the memory requirement by almost 99\% in comparison to the original architecture with the cost of reducing half the accuracy in one of the metrics.