Robustness of Deep Learning Methods for Occluded Object Detection - A Study Introducing a Novel Occlusion Dataset

Wu, Ziling; Moemeni, Armaghan; Caleb-Solly, Praminda; Castle-Green, Simon

doi:10.1109/ijcnn54540.2023.10191368

All Outputs (4)

Designing Multispecies Worlds for Robots, Cats, and Humans (2024)
Conference Proceeding

We reflect on the design of a multispecies world centred around a be-spoke enclosure in which three cats and a robot arm coexist for six hours a day during a twelve-day installation as part of an artist-led project. In this paper, we present the proj... Read More about Designing Multispecies Worlds for Robots, Cats, and Humans.

Charting Ethical Tensions in Multispecies Technology Research through Beneficiary-Epistemology Space (2024)
Conference Proceeding

While ethical challenges are widely discussed in HCI, far less is reported about the ethical processes that researchers routinely navigate. We reflect on a multispecies project that negotiated an especially complex ethical approval process. Cat Royal... Read More about Charting Ethical Tensions in Multispecies Technology Research through Beneficiary-Epistemology Space.

TAS for Cats: An Artist-led Exploration of Trustworthy Autonomous Systems for Companion Animals (2023)
Conference Proceeding

Cat Royale is an artist-led exploration of trustworthy autonomous systems (TAS) created by the TAS Hub's creative ambassadors Blast Theory. A small community of cats inhabits a purpose built 'cat utopia' at the centre of which a robot arm tries to en... Read More about TAS for Cats: An Artist-led Exploration of Trustworthy Autonomous Systems for Companion Animals.

Robustness of Deep Learning Methods for Occluded Object Detection - A Study Introducing a Novel Occlusion Dataset (2023)
Conference Proceeding

A large number of deep learning based object detection algorithms have been proposed and applied in a wide range of domains such as security, autonomous driving and robotics. In practical usage, objects being occluded are common, and can result in re... Read More about Robustness of Deep Learning Methods for Occluded Object Detection - A Study Introducing a Novel Occlusion Dataset.