Methods › Computer Vision › Feature Extractors › FFMv2

Feature Fusion Module v2

FFMv2

2 papers tagged archive 2025-07-28

Introduced by Qijie Zhao et al. in M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network

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

Feature Fusion Module v2 is a feature fusion module from the M2Det object detection model, and is crucial for constructing the final multi-level feature pyramid. They use 1x1 convolution layers to compress the channels of the input features and use a concatenation operation to aggregate these feature map. FFMv2 takes the base feature and the largest output feature map of the previous Thinned U-Shape Module (TUM) – these two are of the same scale – as input, and produces the fused feature for the next TUM.

PaperSourceSee Code · qijiezhao/M2Det

Papers archive 2025-07-28

2 shown of 2, 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

8 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
3D Feature Matching1
Decoder1
Object1
Object Detection1
Text Detection1
Text Spotting1
document understanding1
object-detection1

Usage over time archive 2025-07-28

Papers per year tagged with FFMv2: 2018 to 2021, peak 1 1 0 2018: 1 paper 2018 2019: 0 papers 2019 2020: 0 papers 2020 2021: 1 paper 2021
Papers per year the archive tags with this method, by the paper's archive date (2 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

Feature Extractors

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections