Patent · US Active

Small-size vehicle detection deep learning model based on feature fusion of multi-scale modules

US12394192B1 · kind B1 · utility

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10Claims

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Assignee

Nanhu Laboratory · CN

Inventors

Yicheng Qiu · Zhejiang, CN
Feng Sha · Huzhou City, CN
Li NIU · Longbeilingcun, CN

Key dates

Filing date	Dec 30, 2024
Grant date	Aug 19, 2025
Priority date	—
Expiry date	Dec 30, 2044

Classification

Technology area (CPC Y)Emerging Cross-Sectional Technologies
CPC primaryY02T10/40
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A small-size vehicle detection deep learning model based on feature fusion of multi-scale modules is provided, which solves the problem of small-size vehicle image detection. The model includes a Backbone network, a Neck layer and a Head network, wherein a C2f_DCNv3 module based on the combination of deformable convolution v3 (DCNv3) and a cross stage feature fusion (C2f) module and an SPPF_LSKA module based on the combination of a spatial pyramid pooling fast (SPPF) layer and a large separable kernel attention (LSKA) module are introduced into the Backbone network; a C2f_SCConv module based on the combination of spatial and channel reconstruction convolution (SCConv) and a C2f module is introduced into the Neck layer; and a multi-scale kernel detection (MSK_Detect) module is introduced into the Head network.

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