Ghostformer: A GhostNet-Based Two-Stage Transformer for Small Object Detection

In this paper, we propose a novel two-stage transformer with GhostNet, which improves the performance of the small object detection task. Specifically, based on the original Deformable Transformers for End-to-End Object Detection (deformable DETR), we chose GhostNet as the backbone to extract featur...

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Detalles Bibliográficos
Autores principales: Li, Sijia, Sultonov, Furkat, Tursunboev, Jamshid, Park, Jun-Hyun, Yun, Sangseok, Kang, Jae-Mo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503248/
https://www.ncbi.nlm.nih.gov/pubmed/36146288
http://dx.doi.org/10.3390/s22186939

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503248/
https://www.ncbi.nlm.nih.gov/pubmed/36146288
http://dx.doi.org/10.3390/s22186939

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