Hyp-ow: Exploiting hierarchical structure learning with hyperbolic distance enhances open world object detection
Open World Object Detection (OWOD) is a challenging and realistic task that extends
beyond the scope of standard Object Detection task. It involves detecting both known and …
beyond the scope of standard Object Detection task. It involves detecting both known and …
[HTML][HTML] Text-Guided Unknown Pseudo-Labeling for Open-World Object Detection
X Wang, D Xu - Electronics, 2024 - mdpi.com
Open-world object detection (OWOD) focuses on training models with partially known class
labels, enabling the detection of objects from known classes while concurrently identifying …
labels, enabling the detection of objects from known classes while concurrently identifying …
Intelligent ICU monitoring: investigating the role of accelerometers
JS DE SOUZA - 2024 - repositorio.ufmg.br
O monitoramento inteligente de pacientes, utilizando tecnologias como inteligência artificial
e análise de dados, oferece insights em tempo real sobre os riscos à saúde do paciente …
e análise de dados, oferece insights em tempo real sobre os riscos à saúde do paciente …
[PDF][PDF] TUPL: Text-guided Unknown Pseudo-Labeling for Open World Object Detection
X Wang, D Xu - poster-openaccess.com
Open-world object detection (OWOD) aims to improve model performance in practical
settings by enabling the detection of previously unseen objects while continuously learning …
settings by enabling the detection of previously unseen objects while continuously learning …