Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Knowles, Kobe"'
Autor:
Rogers, Mitchell, Knowles, Kobe, Gendron, Gaël, Heidari, Shahrokh, Valdez, David Arturo Soriano, Azhar, Mihailo, O'Leary, Padriac, Eyre, Simon, Witbrock, Michael, Delmas, Patrice
Deep learning approaches for animal re-identification have had a major impact on conservation, significantly reducing the time required for many downstream tasks, such as well-being monitoring. We propose a method called Recurrence over Video Frames
Externí odkaz:
http://arxiv.org/abs/2406.13002
Autor:
Gendron, Gaël, Chen, Yang, Rogers, Mitchell, Liu, Yiping, Azhar, Mihailo, Heidari, Shahrokh, Valdez, David Arturo Soriano, Knowles, Kobe, O'Leary, Padriac, Eyre, Simon, Witbrock, Michael, Dobbie, Gillian, Liu, Jiamou, Delmas, Patrice
Better understanding the natural world is a crucial task with a wide range of applications. In environments with close proximity between humans and animals, such as zoos, it is essential to better understand the causes behind animal behaviour and wha
Externí odkaz:
http://arxiv.org/abs/2312.14333
Recent advances in artificial intelligence, including the development of highly sophisticated large language models (LLM), have proven beneficial in many real-world applications. However, evidence of inherent bias encoded in these LLMs has raised con
Externí odkaz:
http://arxiv.org/abs/2309.08624
Autor:
Rogers, Mitchell, Gendron, Gaël, Valdez, David Arturo Soriano, Azhar, Mihailo, Chen, Yang, Heidari, Shahrokh, Perelini, Caleb, O'Leary, Padriac, Knowles, Kobe, Tait, Izak, Eyre, Simon, Witbrock, Michael, Delmas, Patrice
Recording animal behaviour is an important step in evaluating the well-being of animals and further understanding the natural world. Current methods for documenting animal behaviour within a zoo setting, such as scan sampling, require excessive human
Externí odkaz:
http://arxiv.org/abs/2306.11326
Autor:
Knowles, Kobe, Bensemann, Joshua, Benavides-Prado, Diana, Yogarajan, Vithya, Witbrock, Michael, Dobbie, Gillian, Chen, Yang
We introduce a novel architecture, the Neuromodulation Gated Transformer (NGT), which is a simple implementation of neuromodulation in transformers via a multiplicative effect. We compare it to baselines and show that it results in the best average p
Externí odkaz:
http://arxiv.org/abs/2305.03232