Cargando…
Fusion of an Ensemble of Augmented Image Detectors for Robust Object Detection
A significant challenge in object detection is accurate identification of an object’s position in image space, whereas one algorithm with one set of parameters is usually not enough, and the fusion of multiple algorithms and/or parameters can lead to more robust results. Herein, a new computational...
Autores principales: | Wei, Pan, Ball, John E., Anderson, Derek T. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5876712/ https://www.ncbi.nlm.nih.gov/pubmed/29562609 http://dx.doi.org/10.3390/s18030894 |
Ejemplares similares
-
Robust Data Augmentation Generative Adversarial Network for Object Detection
por: Lee, Hyungtak, et al.
Publicado: (2022) -
Integrated Circuit Board Object Detection and Image Augmentation Fusion Model Based on YOLO
por: Lin, Szu-Yin, et al.
Publicado: (2021) -
AFTR: A Robustness Multi-Sensor Fusion Model for 3D Object Detection Based on Adaptive Fusion Transformer
por: Zhang, Yan, et al.
Publicado: (2023) -
A Two-Phase Cross-Modality Fusion Network for Robust 3D Object Detection
por: Jiao, Yujun, et al.
Publicado: (2020) -
Multi-Modality Image Fusion and Object Detection Based on Semantic Information
por: Liu, Yong, et al.
Publicado: (2023)