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Adaptively Dense Feature Pyramid Network for Object Detection
We propose a novel one-stage object detection network, called adaptively dense feature pyramid network (ADFPNet), to detect objects cross various scales. The proposed network is developed on single shot multibox detector (SSD) framework with a new proposed ADFP module, which is consisted of two comp...
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| Publicado no: | IEEE Access |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7891497/ https://ncbi.nlm.nih.gov/pubmed/33614364 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/access.2019.2922511 |
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