Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Ferreira, Joao Eduardo"'
Toxic misinformation campaigns have caused significant societal harm, e.g., affecting elections and COVID-19 information awareness. Unfortunately, despite successes of (gold standard) retrospective studies of misinformation that confirmed their harmf
Externí odkaz:
http://arxiv.org/abs/2301.07981
Recent advances in text classification and knowledge capture in language models have relied on availability of large-scale text datasets. However, language models are trained on static snapshots of knowledge and are limited when that knowledge evolve
Externí odkaz:
http://arxiv.org/abs/2211.12508
Autor:
Suprem, Abhijit, Singh, Purva, Cherkadi, Suma, Vaidya, Sanjyot, Ferreira, Joao Eduardo, Pu, Calton
The vehicle recognition area, including vehicle make-model recognition (VMMR), re-id, tracking, and parts-detection, has made significant progress in recent years, driven by several large-scale datasets for each task. These datasets are often non-ove
Externí odkaz:
http://arxiv.org/abs/2211.09098
Machine Learning has become the bedrock of recent advances in text, image, video, and audio processing and generation. Most production systems deal with several models during deployment and training, each with a variety of tuned hyperparameters. Furt
Externí odkaz:
http://arxiv.org/abs/2211.06783
Autor:
Suprem, Abhijit, Vaidya, Sanjyot, Cherkadi, Suma, Singh, Purva, Ferreira, Joao Eduardo, Pu, Calton
Machine learning models with explainable predictions are increasingly sought after, especially for real-world, mission-critical applications that require bias detection and risk mitigation. Inherent interpretability, where a model is designed from th
Externí odkaz:
http://arxiv.org/abs/2205.10011
We propose a Small, Accurate, and Fast Re-ID (SAFR) design for flexible vehicle re-id under a variety of compute environments such as cloud, mobile, edge, or embedded devices by only changing the re-id model backbone. Through best-fit design choices,
Externí odkaz:
http://arxiv.org/abs/2001.08895
Publikováno v:
2019 IEEE Conference on Cognitive Machine Intelligence
As camera networks have become more ubiquitous over the past decade, the research interest in video management has shifted to analytics on multi-camera networks. This includes performing tasks such as object detection, attribute identification, and v
Externí odkaz:
http://arxiv.org/abs/1912.04423
Publikováno v:
32th Brazilian Symposium on Databases - Demo and Applications (2017) pp. 46-51
Data quality assessment process is essential to ensure reliable analytical outcomes. This process depends on human supervision-driven approaches since it is impossible to determine a defect based only on data. Visualization systems belong to a class
Externí odkaz:
http://arxiv.org/abs/1808.05215