Cargando…
Skip-layer network with optimization method for domain adaptive detection
In the field of object detection, domain adaptation is one of popular solution to align the distribution between the real scene (target domain) and the training scene (source domain) by adversarial training. However, only global features are applied to the Domain Adaptive Faster R-CNN (DA Faster R-C...
Autores principales: | Xu, Qian, Li, Ying, Wang, Gang, Hou, Minghui, Zhang, Hao, Cai, Hongmin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8929580/ https://www.ncbi.nlm.nih.gov/pubmed/35298479 http://dx.doi.org/10.1371/journal.pone.0263748 |
Ejemplares similares
-
Layer-Skipping Connections Improve the Effectiveness of Equilibrium Propagation on Layered Networks
por: Gammell, Jimmy, et al.
Publicado: (2021) -
Domain Adaptation and Adaptive Information Fusion for Object Detection on Foggy Days
por: Chen, Zhe, et al.
Publicado: (2018) -
SkipGNN: predicting molecular interactions with skip-graph networks
por: Huang, Kexin, et al.
Publicado: (2020) -
Gated Skip-Connection Network with Adaptive Upsampling for Retinal Vessel Segmentation
por: Jiang, Yun, et al.
Publicado: (2021) -
Breakfast: To Skip or Not to Skip?
por: Zilberter, Tanya, et al.
Publicado: (2014)