(**kwargs)
return models.RetinaNet(cfg, **kwargs)
r"""
    RetinaNet trained from COCO dataset.
    `"RetinaNet" <https://arxiv.org/abs/1708.02002>`_
    `"FPN" <https://arxiv.org/abs/1612.03144>`_
    `"COCO" <https://arxiv.org/abs/1405.0312>`_
r"""
    RetinaNet trained from COCO dataset.
    `"RetinaNet" <https://arxiv.org/abs/1708.02002>`_
    `"FPN" <https://arxiv.org/abs/1612.03144>`_
    `"COCO" <https://arxiv.org/abs/1405.0312>`_
r RetinaNet trained from COCO dataset . RetinaNet <https : // arxiv . org / abs / 1708 . 02002 > _ FPN <https : // arxiv . org / abs / 1612 . 03144 > _ COCO <https : // arxiv . org / abs / 1405 . 0312 > _
def retinanet_res18_coco_3x_800size(**kwargs):
    r"""
    RetinaNet trained from COCO dataset.
    `"RetinaNet" <https://arxiv.org/abs/1708.02002>`_
    `"FPN" <https://arxiv.org/abs/1612.03144>`_
    `"COCO" <https://arxiv.org/abs/1405.0312>`_
    """
    cfg = CustomRetinaNetConfig()
    cfg.backbone_pretrained = False
    return models.RetinaNet(cfg, **kwargs)
def retinanet_res18_coco_3x_800size ( * * kwargs ) : cfg = CustomRetinaNetConfig ( ) cfg . backbone_pretrained = False return models . RetinaNet ( cfg , * * kwargs )