Feature Pyramid Blocks

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Feature Pyramid Blocks are a basic component in recognition systems for detecting objects at different scales.

Methods

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Method	Year	Papers
FPN Feature Pyramid Networks for Object Detection	2016	491
PAFPN Path Aggregation Network for Instance Segmentation	2018	102
Bottom-up Path Augmentation Path Aggregation Network for Instance Segmentation	2018	102
BiFPN EfficientDet: Scalable and Efficient Object Detection	2019	34
NAS-FPN NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection	2019	10
RFP DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution	2020	10
Balanced Feature Pyramid Libra R-CNN: Towards Balanced Learning for Object Detection	2019	5
FPG Feature Pyramid Grids	2020	4
MLFPN M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network	2018	2
ASFF Learning Spatial Fusion for Single-Shot Object Detection	2019	1
Exact Fusion Model CSPNet: A New Backbone that can Enhance Learning Capability of CNN	2019	1