# Research Progress of Convolutional Neural Network and its Application in Object Detection

Source: [Research Progress of Convolutional Neural Network and its Application in Object Detection](<https://www.sota2.com/research/paper/68fa68061e209131cea1994d>)

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

Data updated: 2025-10-25T22:27:00.192Z

Authors: Wei Zhang, Zuoxiang Zeng

Published: 2020-07-27T02:45:59.000Z

## Abstract

With the improvement of computer performance and the increase of data volume, the object detection based on convolutional neural network (CNN) has become the main algorithm for object detection. This paper summarizes the research progress of convolutional neural networks and their applications in object detection, and focuses on analyzing and discussing a specific idea and method of applying convolutional neural networks for object detection, pointing out the current deficiencies and future development direction.

## 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/2007.13284>)

[PDF](<https://arxiv.org/pdf/2007.13284.pdf>)