RoI Feature Extractors

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Computer Vision • 12 methods

RoI Feature Extractors are used to extract regions of interest features for tasks such as object detection. Below you can find a continuously updating list of RoI Feature Extractors.

Methods

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Method	Year	Papers
RoIPool Rich feature hierarchies for accurate object detection and semantic segmentation	2013	535
RoIAlign Mask R-CNN	2017	516
Position-Sensitive RoI Pooling R-FCN: Object Detection via Region-based Fully Convolutional Networks	2016	32
Voxel RoI Pooling Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection	2020	5
Deformable RoI Pooling Deformable Convolutional Networks	2017	4
Precise RoI Pooling Acquisition of Localization Confidence for Accurate Object Detection	2018	4
Position-Sensitive RoIAlign	2000	4
BezierAlign ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network	2020	3
GRoIE A novel Region of Interest Extraction Layer for Instance Segmentation	2020	2
RoIWarp Instance-aware Semantic Segmentation via Multi-task Network Cascades	2015	1
Deformable Position-Sensitive RoI Pooling Deformable Convolutional Networks	2017	1
Temporal ROIAlign Temporal RoI Align for Video Object Recognition	2021	1