Cargando…
SNS-CF: Siamese Network with Spatially Semantic Correlation Features for Object Tracking
Recent advances in object tracking based on deep Siamese networks shifted the attention away from correlation filters. However, the Siamese network alone does not have as high accuracy as state-of-the-art correlation filter-based trackers, whereas correlation filter-based trackers alone have a frame...
Autores principales: | Ntwari, Thierry, Park, Hasil, Shin, Joongchol, Paik, Joonki |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506687/ https://www.ncbi.nlm.nih.gov/pubmed/32872299 http://dx.doi.org/10.3390/s20174881 |
Ejemplares similares
-
Uniformity Attentive Learning-Based Siamese Network for Person Re-Identification
por: Jeong, Dasol, et al.
Publicado: (2020) -
Real-Time Visual Tracking with Variational Structure Attention Network
por: Kim, Yeongbin, et al.
Publicado: (2019) -
AMST(2): aggregated multi-level spatial and temporal context-based transformer for robust aerial tracking
por: Park, Hasil, et al.
Publicado: (2023) -
Photo-Realistic Image Dehazing and Verifying Networks via Complementary Adversarial Learning
por: Shin, Joongchol, et al.
Publicado: (2021) -
Siamese anchor-free object tracking with multiscale spatial attentions
por: Zhang, Jianming, et al.
Publicado: (2021)