Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Santos, Jefersson A. Dos"'
Autor:
Moreira, Diego A. B., Ferreira, Alef Iury, Silva, Jhessica, Santos, Gabriel Oliveira dos, Pereira, Luiz, Gondim, João Medrado, Bonil, Gustavo, Maia, Helena, da Silva, Nádia, Hashiguti, Simone Tiemi, Santos, Jefersson A. dos, Pedrini, Helio, Avila, Sandra
Despite significant advancements and pervasive use of vision-language models, a paucity of studies has addressed their ethical implications. These models typically require extensive training data, often from hastily reviewed text and image datasets,
Externí odkaz:
http://arxiv.org/abs/2409.19474
Autor:
Valois, Pedro H. V., Macedo, João, Ribeiro, Leo S. F., Santos, Jefersson A. dos, Avila, Sandra
Crime in the 21st century is split into a virtual and real world. However, the former has become a global menace to people's well-being and security in the latter. The challenges it presents must be faced with unified global cooperation, and we must
Externí odkaz:
http://arxiv.org/abs/2403.01183
Autor:
Roscher, Ribana, Rußwurm, Marc, Gevaert, Caroline, Kampffmeyer, Michael, Santos, Jefersson A. dos, Vakalopoulou, Maria, Hänsch, Ronny, Hansen, Stine, Nogueira, Keiller, Prexl, Jonathan, Tuia, Devis
Recent developments and research in modern machine learning have led to substantial improvements in the geospatial field. Although numerous deep learning architectures and models have been proposed, the majority of them have been solely developed on
Externí odkaz:
http://arxiv.org/abs/2312.05327
With the looming threat of climate change, neglected tropical diseases such as dengue, zika, and chikungunya have the potential to become an even greater global concern. Remote sensing technologies can aid in controlling the spread of Aedes Aegypti,
Externí odkaz:
http://arxiv.org/abs/2310.10423
In this work, we propose two different approaches to improve the semantic consistency of Open Set Semantic Segmentation. First, we propose a method called OpenGMM that extends the OpenPCS framework using a Gaussian Mixture of Models to model the dist
Externí odkaz:
http://arxiv.org/abs/2206.02714
In some scenarios, a single input image may not be enough to allow the object classification. In those cases, it is crucial to explore the complementary information extracted from images presenting the same object from multiple perspectives (or views
Externí odkaz:
http://arxiv.org/abs/2205.10592
The online sharing and viewing of Child Sexual Abuse Material (CSAM) are growing fast, such that human experts can no longer handle the manual inspection. However, the automatic classification of CSAM is a challenging field of research, largely due t
Externí odkaz:
http://arxiv.org/abs/2204.14110
Open set segmentation is a relatively new and unexploredtask, with just a handful of methods proposed to model suchtasks.We propose a novel method called CoReSeg thattackles the issue using class conditional reconstruction ofthe input images accordin
Externí odkaz:
http://arxiv.org/abs/2203.01368
Semantic segmentation is a classic computer vision task with multiple applications, which includes medical and remote sensing image analysis. Despite recent advances with deep-based approaches, labeling samples (pixels) for training models is laborio
Externí odkaz:
http://arxiv.org/abs/2109.01693
Labeling semantic segmentation datasets is a costly and laborious process if compared with tasks like image classification and object detection. This is especially true for remote sensing applications that not only work with extremely high spatial re
Externí odkaz:
http://arxiv.org/abs/2108.11535