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What is: Feature Fusion Module v2?

SourceM2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

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.