particularly when dealing with smaller objects. They also introduced theYOLOv8-Seg modelfor semantic segmentation by applying minimal changes to the original model.
Structure diagram of the LiteDetect lightweight detection head. Is the structure diagram of the LiteDetect lightweight detection head. Feature Map refers to the input feature map from the upper layer; ConvBlock is a custom convolution module; CV2 is the bounding box prediction module; CV3 is th...
Diagram based on [116]. YOLOv8 also provides a semantic segmentation model called YOLOv8-Seg model. The backbone is a CSPDarknet53 feature extractor, followed by a C2f module instead of the traditional YOLO neck architecture. The C2f module is followed by two segmentation heads, which ...
The HSFPN module was introduced to more effectively extract channel features, and a simplified LADH detection head was adopted to achieve precise localization for small and obstructed walnuts. Additionally, the 32 × 32 detection head was removed to reduce complexity, enhancing efficiency and ...
The HSFPN module was introduced to more effectively extract channel features, and a simplified LADH detection head was adopted to achieve precise localization for small and obstructed walnuts. Additionally, the 32 × 32 detection head was removed to reduce complexity, enhancing efficiency and ...