yolox+BiFPN

Yolox BiFPN (Backbone Feature Pyramid Network) is a type of network architecture used in object detection systems. It is a modified version of the original FPN (Feature Pyramid Network) architecture, designed to improve the accuracy and speed of object detection.

The Yolox BiFPN architecture consists of a backbone network that extracts features from the input image, followed by a BiFPN module that merges feature maps of different scales and resolutions. The BiFPN module uses a bottom-up and top-down approach to merge the feature maps, which helps to capture both fine-grained and coarse-grained details in the image.

The Yolox BiFPN architecture also includes a head network that performs object detection and classification based on the merged feature maps. This head network is typically a fully connected network with multiple layers, which uses the merged feature maps as input to predict the location and class of objects in the image.

Overall, the Yolox BiFPN architecture is a powerful and efficient approach to object detection, particularly for large-scale datasets with complex object classes and variations.