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pro vyhledávání: '"Burghardt A"'
Road markings were reported as critical road safety features, equally needed for both human drivers and for machine vision technologies utilised by advanced driver assistance systems (ADAS) and in driving automation. Visibility of road markings is ac
Externí odkaz:
http://arxiv.org/abs/2410.13320
We present MultiCamCows2024, a farm-scale image dataset filmed across multiple cameras for the biometric identification of individual Holstein-Friesian cattle exploiting their unique black and white coat-patterns. Captured by three ceiling-mounted vi
Externí odkaz:
http://arxiv.org/abs/2410.12695
Online social networks use recommender systems to suggest relevant information to their users in the form of personalized timelines. Studying how these systems expose people to information at scale is difficult to do as one cannot assume each user is
Externí odkaz:
http://arxiv.org/abs/2409.16558
Autor:
Hickey, Daniel, Schmitz, Matheus, Fessler, Daniel M. T., Smaldino, Paul E., Lerman, Kristina, Murić, Goran, Burghardt, Keith
Counterspeech -- speech that opposes hate speech -- has gained significant attention recently as a strategy to reduce hate on social media. While previous studies suggest that counterspeech can somewhat reduce hate speech, little is known about its e
Externí odkaz:
http://arxiv.org/abs/2405.18374
Socio-linguistic indicators of text, such as emotion or sentiment, are often extracted using neural networks in order to better understand features of social media. One indicator that is often overlooked, however, is the presence of hazards within te
Externí odkaz:
http://arxiv.org/abs/2405.17838
Many online hate groups exist to disparage others based on race, gender identity, sex, or other characteristics. The accessibility of these communities allows users to join multiple types of hate groups (e.g., a racist community and misogynistic comm
Externí odkaz:
http://arxiv.org/abs/2405.17410
Adversarial information operations can destabilize societies by undermining fair elections, manipulating public opinions on policies, and promoting scams. Despite their widespread occurrence and potential impacts, our understanding of influence campa
Externí odkaz:
http://arxiv.org/abs/2405.03688
User representation learning aims to capture user preferences, interests, and behaviors in low-dimensional vector representations. These representations have widespread applications in recommendation systems and advertising; however, existing methods
Externí odkaz:
http://arxiv.org/abs/2405.05275
We show that chimpanzee behaviour understanding from camera traps can be enhanced by providing visual architectures with access to an embedding of text descriptions that detail species behaviours. In particular, we present a vision-language model whi
Externí odkaz:
http://arxiv.org/abs/2404.08937
Autor:
Sharma, Asheesh, Randewich, Lucy, Andrew, William, Hannuna, Sion, Campbell, Neill, Mullan, Siobhan, Dowsey, Andrew W., Smith, Melvyn, Hansen, Mark, Burghardt, Tilo
This paper proposes and evaluates, for the first time, a top-down (dorsal view), depth-only deep learning system for accurately identifying individual cattle and provides associated code, datasets, and training weights for immediate reproducibility.
Externí odkaz:
http://arxiv.org/abs/2404.00172