MSHC-YOLO: multiscale heterogeneous convolution for small object detection in traffic scenes
This work proposes MSHC-YOLO, a Multi-Scale Heterogeneous Convolution module that decomposes standard convolution into three parallel kernels with distinct shapes to capture direction-specific spatial structures at negligible parameter cost and interacts synergistically with the P2 head, validating that the shallower t...