no code implementations • 9 Jul 2023 • Faraz Waseem, Pratyush Muthukumar
Broadly, we seek to understand the impact of applying meta-learning to existing state-of-the-art representation learning architectures.
no code implementations • 26 May 2022 • Faraz Waseem, Sanjit Menon, Haotian Xu, Debashis Mondal
Traditional vision based Automated Optical Inspection (referred to as AOI in paper) systems present multiple challenges in factory settings including inability to scale across multiple product lines, requirement of vendor programming expertise, little tolerance to variations and lack of cloud connectivity for aggregated insights.
no code implementations • 8 Mar 2022 • Faraz Waseem, Rafael Perez Martinez, Chris Wu
Due to efforts needed to label training data, unsupervised approaches to train anomaly detection models for videos is more practical An autoencoder is a neural network that is trained to recreate its input using latent representation of input also called a bottleneck layer.