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SYNASC
Deep learning models for object detection have gotten larger and larger over the years, spanning from 3.9M trainable parameters for EfficientDet to 209M for the AmoebaNet-based NAS-FPN detector. Different strategies are currently being researched in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::640572397017fbcd14c5f316444f4a59
https://doi.org/10.1109/synasc51798.2020.00051
https://doi.org/10.1109/synasc51798.2020.00051
