Region Proposal
137 papers with code • 1 benchmarks • 5 datasets
Benchmarks
These leaderboards are used to track progress in Region Proposal
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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
Learning regression and verification networks for long-term visual tracking
xiaobai1217/MBMD
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Compared with short-term tracking, the long-term tracking task requires determining the tracked object is present or absent, and then estimating the accurate bounding box if present or conducting image-wide re-detection if absent.
Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels
We propose a highly accurate and efficient one-stage lesion detector, by re-designing a RetinaNet to meet the particular challenges in medical imaging.
PVANET: Deep but Lightweight Neural Networks for Real-time Object Detection
This paper presents how we can achieve the state-of-the-art accuracy in multi-category object detection task while minimizing the computational cost by adapting and combining recent technical innovations.
User Constrained Thumbnail Generation using Adaptive Convolutions
sairajk/Thumbnail-Generation
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We use Global Context Aggregation (GCA) and a modified Region Proposal Network (RPN) with adaptive convolutions to generate thumbnails in real time.
Region Proposal by Guided Anchoring
open-mmlab/mmdetection
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CVPR 2019
State-of-the-art detectors mostly rely on a dense anchoring scheme, where anchors are sampled uniformly over the spatial domain with a predefined set of scales and aspect ratios.
Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object Detection
zhixinwang/frustum-convnet
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We also propose component variants of F-ConvNet, including an FCN variant that extracts multi-resolution frustum features, and a refined use of F-ConvNet over a reduced 3D space.
DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder Convolutional Neural Networks for Pulmonary Nodule Detection
ymli39/DeepSEED-3D-ConvNets-for-Pulmonary-Nodule-Detection
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Pulmonary nodule detection plays an important role in lung cancer screening with low-dose computed tomography (CT) scans.
Relation Distillation Networks for Video Object Detection
Scalsol/mega.pytorch
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ICCV 2019
In this paper, we introduce a new design to capture the interactions across the objects in spatio-temporal context.
Universal Physical Camouflage Attacks on Object Detectors
In this paper, we study physical adversarial attacks on object detectors in the wild.
Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution
thangvubk/Cascade-RPN
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NeurIPS 2019
This paper considers an architecture referred to as Cascade Region Proposal Network (Cascade RPN) for improving the region-proposal quality and detection performance by \textit{systematically} addressing the limitation of the conventional RPN that \textit{heuristically defines} the anchors and \textit{aligns} the features to the anchors.
