MHAF-YOLO reaches 48.9% AP on COCO with 7.1M parameters by combining auxiliary shallow-deep fusion paths and heterogeneous reparameterized convolutions.
Redmon, You only look once: Unified, real-time object detection, in: Proceedings of the IEEE conference on computer vision and pattern recognition, 2016
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MHAF-YOLO: Multi-Branch Heterogeneous Auxiliary Fusion YOLO for accurate object detection
MHAF-YOLO reaches 48.9% AP on COCO with 7.1M parameters by combining auxiliary shallow-deep fusion paths and heterogeneous reparameterized convolutions.