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Methods › Computer Vision › Convolutional Neural Networks › CSPDarknet53

CSPDarknet53

132 papers tagged archive 2025-07-28

Introduced by Alexey Bochkovskiy et al. in YOLOv4: Optimal Speed and Accuracy of Object Detection

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

CSPDarknet53 is a convolutional neural network and backbone for object detection that uses DarkNet-53. It employs a CSPNet strategy to partition the feature map of the base layer into two parts and then merges them through a cross-stage hierarchy. The use of a split and merge strategy allows for more gradient flow through the network.

This CNN is used as the backbone for YOLOv4.

PaperSourceSee Code · Tianxiaomo/pytorch-YOLOv4

Papers archive 2025-07-28

30 shown of 132, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 152 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Object Detection83
object-detection76
Object46
Real-Time Object Detection18
GPU12
Autonomous Driving9
Deep Learning9
2D Object Detection7
Data Augmentation7
Object Tracking7
Segmentation7
Multi-Object Tracking6
Semantic Segmentation6
Transfer Learning5
Image Classification4
Instance Segmentation4
Multiple Object Tracking4
Benchmarking3
Classification3
Domain Adaptation3

Usage over time archive 2025-07-28

Papers per year tagged with CSPDarknet53: 2016 to 2025, peak 41 41 0 2016: 1 paper 2016 2017: 0 papers 2017 2018: 0 papers 2018 2019: 1 paper 2019 2020: 15 papers 2020 2021: 26 papers 2021 2022: 41 papers 2022 2023: 25 papers 2023 2024: 15 papers 2024 2025: 8 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (132 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Convolutional Neural Networks

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