Feature Extractors

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Computer Vision • 22 methods

Feature Extractors for object detection are modules used to construct features that can be used for detecting objects. They address issues such as the need to detect multiple-sized objects in an image (and the need to have representations that are suitable for the different scales).

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1 Feature Pyramid Blocks

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Method	Year	Papers
TS	2000	242
PAFPN Path Aggregation Network for Instance Segmentation	2018	124
BiFPN EfficientDet: Scalable and Efficient Object Detection	2019	48
Attention Pooling Network Level Spatial Temporal Traffic State Forecasting with Hierarchical Attention LSTM (HierAttnLSTM)	2022	46
NAS-FPN NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection	2019	11
Context Enhancement Module ThunderNet: Towards Real-time Generic Object Detection	2019	8
RFB Receptive Field Block Net for Accurate and Fast Object Detection	2017	8
FSAF Feature Selective Anchor-Free Module for Single-Shot Object Detection	2019	7
FPG Feature Pyramid Grids	2020	5
TridentNet Block Scale-Aware Trident Networks for Object Detection	2019	4
Spatial Attention Module (ThunderNet) ThunderNet: Towards Real-time Generic Object Detection	2019	4
Panoptic FPN Panoptic Feature Pyramid Networks	2019	3
FFMv2 M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network	2018	2
Cross-resolution features EfficientPose: Scalable single-person pose estimation	2020	2
Low-level backbone EfficientPose: Scalable single-person pose estimation	2020	2
FFMv1 M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network	2018	2
Streaming Module FeatherNets: Convolutional Neural Networks as Light as Feather for Face Anti-spoofing	2019	2
MLFPN M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network	2018	2
Exact Fusion Model CSPNet: A New Backbone that can Enhance Learning Capability of CNN	2019	1
High-level backbone EfficientPose: Scalable single-person pose estimation	2020	1
Feature Intertwiner Feature Intertwiner for Object Detection	2019	1

Feature Extractors Edit

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