Region Proposal
136 papers with code • 1 benchmarks • 5 datasets
Benchmarks
These leaderboards are used to track progress in Region Proposal
| Trend | Dataset | Best Model | Paper | Code | Compare |
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Libraries
Use these libraries to find Region Proposal models and implementations
MS COCO
RefCOCO
ABC Dataset
MobilityAids
ISBDA
Most implemented papers
Arbitrary-Oriented Scene Text Detection via Rotation Proposals
This paper introduces a novel rotation-based framework for arbitrary-oriented text detection in natural scene images.
Joint 3D Proposal Generation and Object Detection from View Aggregation
kujason/avod
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We present AVOD, an Aggregate View Object Detection network for autonomous driving scenarios.
SNIPER: Efficient Multi-Scale Training
MahyarNajibi/SNIPER
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NeurIPS 2018
Our implementation based on Faster-RCNN with a ResNet-101 backbone obtains an mAP of 47. 6% on the COCO dataset for bounding box detection and can process 5 images per second during inference with a single GPU.
Stereo R-CNN based 3D Object Detection for Autonomous Driving
HKUST-Aerial-Robotics/Stereo-RCNN
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CVPR 2019
Our method, called Stereo R-CNN, extends Faster R-CNN for stereo inputs to simultaneously detect and associate object in left and right images.
M3D-RPN: Monocular 3D Region Proposal Network for Object Detection
garrickbrazil/M3D-RPN
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ICCV 2019
Understanding the world in 3D is a critical component of urban autonomous driving.
Oriented R-CNN for Object Detection
jbwang1997/OBBDetection
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ICCV 2021
Current state-of-the-art two-stage detectors generate oriented proposals through time-consuming schemes.
Real-Time Grasp Detection Using Convolutional Neural Networks
DucTranVan/grasp-detection-pytorch
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We present an accurate, real-time approach to robotic grasp detection based on convolutional neural networks.
Deep Image Retrieval: Learning global representations for image search
We propose a novel approach for instance-level image retrieval.
Faster R-CNN Features for Instance Search
imatge-upc/retrieval-2016-deepvision
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This work explores the suitability for instance retrieval of image- and region-wise representations pooled from an object detection CNN such as Faster R-CNN.
CoupleNet: Coupling Global Structure with Local Parts for Object Detection
tshizys/CoupleNet
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ICCV 2017
To fully explore the local and global properties, in this paper, we propose a novel fully convolutional network, named as CoupleNet, to couple the global structure with local parts for object detection.
