docs/source/models/ssdlite.rst
.. currentmodule:: torchvision.models.detection
The SSDLite model is based on the SSD: Single Shot MultiBox Detector <https://arxiv.org/abs/1512.02325>, Searching for MobileNetV3 <https://arxiv.org/abs/1905.02244> and MobileNetV2: Inverted Residuals and Linear Bottlenecks <https://arxiv.org/abs/1801.04381>__ papers.
.. betastatus:: detection module
The following model builders can be used to instantiate a SSD Lite model, with or
without pre-trained weights. All the model builders internally rely on the
torchvision.models.detection.ssd.SSD base class. Please refer to the source code <https://github.com/pytorch/vision/blob/main/torchvision/models/detection/ssdlite.py>_ for
more details about this class.
.. autosummary:: :toctree: generated/ :template: function.rst
ssdlite320_mobilenet_v3_large