sglang_v0.5.2/vision_0.22.1/docs/source/models/ssdlite.rst

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SSDlite
=======
.. 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
Model builders
--------------
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