Search Results for author: Faraz Waseem

Found 3 papers, 0 papers with code

Semi Supervised Meta Learning for Spatiotemporal Learning

no code implementations9 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.

Action Classification Classification +3

VizInspect Pro -- Automated Optical Inspection (AOI) solution

no code implementations26 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.

Self-Learning

Visual anomaly detection in video by variational autoencoder

no code implementations8 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.

Anomaly Detection Self-Driving Cars

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