6 citations · 6 across the 4 of their papers we have counts for
4 papers
Generative Grasp Detection and Estimation with Concept Learning-based Safety Criteria
Al-Harith Farhad, Khalil Abuibaid, Christiane Plociennik +2
Neural networks are often regarded as universal equations that can estimate any function. This flexibility, however, comes with the drawback of high complexity, rendering these net…
Pragmatic auditing: a pilot-driven approach for auditing Machine Learning systems
Djalel Benbouzid, Christiane Plociennik, Laura Lucaj +6
The growing adoption and deployment of Machine Learning (ML) systems came with its share of ethical incidents and societal concerns. It also unveiled the necessity to properly audi…
Enhancing Object Detection Performance for Small Objects through Synthetic Data Generation and Proportional Class-Balancing Technique: A Comparative Study in Industrial Scenarios
Jibinraj Antony, Vinit Hegiste, Ali Nazeri +4
Object Detection (OD) has proven to be a significant computer vision method in extracting localized class information and has multiple applications in the industry. Although many o…
Small Object Detection for Near Real-Time Egocentric Perception in a Manual Assembly Scenario
Hooman Tavakoli, Snehal Walunj, Parsha Pahlevannejad +2
Detecting small objects in video streams of head-worn augmented reality devices in near real-time is a huge challenge: training data is typically scarce, the input video stream can…