Methods › Computer Vision › Object Detection Models › C3-AMP

Amplified Cross-Stage Partial Block

C3-AMP

1 paper tagged archive 2025-07-28

Introduced by Hadi Khodaei Jooshin et al. in Inception-YOLO: Computational cost and accuracy improvement of the YOLOv5 model based on employing modified CSP, SPPF, and inception modules

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

In our proposed concept, we use an Inception layer after a convolutional layer with a kernel size of 1, and then, after performing batch normalization and the SILU activation function, we concatenate the output of this layer with the input of the bottleneck and pass it to the next layer. Moreover, in the other branch of C3-AMP, after performing a convolutional layer, a max pooling layer is employed, and then after concatenating the output of this layer with the output of bottleneck series, another convolutional layer with a kernel size of 1 is utilized.

PaperSource

Papers archive 2025-07-28

1 shown of 1, 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

4 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
Medical Image Analysis1
Object Detection1
Real-Time Object Detection1
object-detection1

Usage over time archive 2025-07-28

Papers per year tagged with C3-AMP: 2024 to 2024, peak 1 1 0 2024: 1 paper 2024
Papers per year the archive tags with this method, by the paper's archive date (1 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

Object Detection Models

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