The SSDLite model is based on the SSD: Single Shot MultiBox Detector, Searching for MobileNetV3 and MobileNetV2: Inverted Residuals and Linear Bottlenecks <https://arxiv.org/abs/1801.04381>__ papers.
The detection module is in Beta stage, and backward compatibility is not guaranteed.
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
more details about this class.
SSDlite model architecture with input size 320x320 and a MobileNetV3 Large backbone, as described at Searching for MobileNetV3 and MobileNetV2: Inverted Residuals and Linear Bottlenecks.