When object detection meets knowledge distillation: A survey
Object detection (OD) is a crucial computer vision task that has seen the development of
many algorithms and models over the years. While the performance of current OD models …
many algorithms and models over the years. While the performance of current OD models …
[HTML][HTML] The HA4M dataset: Multi-Modal Monitoring of an assembly task for Human Action recognition in Manufacturing
This paper introduces the Human Action Multi-Modal Monitoring in Manufacturing (HA4M)
dataset, a collection of multi-modal data relative to actions performed by different subjects …
dataset, a collection of multi-modal data relative to actions performed by different subjects …
Improving generalization in deep neural network using knowledge transformation based on fisher criterion
Most deep neural networks (DNNs) are trained in an over-parametrized regime. In this case,
the numbers of their parameters are more than available training data which reduces the …
the numbers of their parameters are more than available training data which reduces the …
[PDF][PDF] ScenARy: Scene Awareness in HMD-assisted Multi-Machine Scenarios
A Steiner - 2023 - scholar.archive.org
Global competition within the manufacturing sector nowadays is forcing more and more
companies to implement modern, innovative technologies into their factories. Technologies …
companies to implement modern, innovative technologies into their factories. Technologies …