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Object Proposal Generation

Object proposal generation is a preprocessing technique that has been widely used in current object detection pipelines to guide the search of objects and avoid exhaustive sliding window search across images.

( Image credit: Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation )

Papers

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Showing 26–50 of 54 papers

TitleStatusHype
Object cosegmentation using deep Siamese network—0
Deep Crisp Boundaries: From Boundaries to Higher-level Tasks—0
Recurrent Pixel Embedding for Instance GroupingCode0
SalProp: Salient object proposals via aggregated edge cues—0
CASENet: Deep Category-Aware Semantic Edge DetectionCode0
Object Discovery via Cohesion Measurement—0
ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond—0
Object proposal generation applying the distance dependent Chinese restaurant processCode0
Semantic Instance Segmentation via Deep Metric LearningCode0
Boundary-aware Instance Segmentation—0
Learning to Segment Object Candidates via Recursive Neural Networks—0
Multi-View 3D Object Detection Network for Autonomous DrivingCode0
Multi-stage Object Detection with Group Recursive Learning—0
Multi-Scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation—0
Monocular 3D Object Detection for Autonomous Driving—0
Selective Convolutional Descriptor Aggregation for Fine-Grained Image RetrievalCode1
Seq-NMS for Video Object DetectionCode0
Generating Discriminative Object Proposals via Submodular Ranking—0
Learning to Combine Mid-Level Cues for Object Proposal Generation—0
SubmodBoxes: Near-Optimal Search for a Set of Diverse Object Proposals—0
Sequential Optimization for Efficient High-Quality Object Proposal Generation—0
Manipulated Object Proposal: A Discriminative Object Extraction and Feature Fusion Framework for First-Person Daily Activity Recognition—0
Object Detection by Labeling Superpixels—0
Traditional Saliency Reloaded: A Good Old Model in New Shape—0
Convolutional Channel FeaturesCode0
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