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Pragmatic auditing: a pilot-driven approach for auditing Machine Learning systems
For such a novel type of algorithmic auditing to become standard practice, two main prerequisites need to be available: A lifecycle model that is tailored towards transparency and accountability, and a principled risk assessment procedure that allows the proper scoping of the audit.
Enhancing Object Detection Performance for Small Objects through Synthetic Data Generation and Proportional Class-Balancing Technique: A Comparative Study in Industrial Scenarios
Object Detection (OD) has proven to be a significant computer vision method in extracting localized class information and has multiple applications in the industry.
Small Object Detection for Near Real-Time Egocentric Perception in a Manual Assembly Scenario
We describe a near real-time small object detection pipeline for egocentric perception in a manual assembly scenario: We generate a training data set based on CAD data and realistic backgrounds in Unity.
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