# Hybrid Pooling and Convolutional Network for Improving Accuracy and Training Convergence Speed in Object Detection

Source: [Hybrid Pooling and Convolutional Network for Improving Accuracy and Training Convergence Speed in Object Detection](<https://www.sota2.com/research/paper/68fa71b61e209131cea52b65>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-26T02:11:33.256Z

Authors: Shiwen Zhao, Wei Wang, Junhui Hou, Hai Wu

Published: 2024-01-02T10:22:06.000Z

## Abstract

This paper introduces HPC-Net, a high-precision and rapidly convergent object detection network.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2401.01134>)

[PDF](<https://arxiv.org/pdf/2401.01134.pdf>)