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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
SalProp: Salient object proposals via aggregated edge cues—0
ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond—0
Segmenting Medical Instruments in Minimally Invasive Surgeries using AttentionMask—0
Sequential Optimization for Efficient High-Quality Object Proposal Generation—0
Small, but important: Traffic light proposals for detecting small traffic lights and beyond—0
SubmodBoxes: Near-Optimal Search for a Set of Diverse Object Proposals—0
Traditional Saliency Reloaded: A Good Old Model in New Shape—0
What leads to generalization of object proposals?—0
You Don't Only Look Once: Constructing Spatial-Temporal Memory for Integrated 3D Object Detection and Tracking—0
3DVG-Transformer: Relation Modeling for Visual Grounding on Point Clouds—0
A New Target-specific Object Proposal Generation Method for Visual Tracking—0
Boundary-aware Instance Segmentation—0
Deep Crisp Boundaries: From Boundaries to Higher-level Tasks—0
DeepFH Segmentations for Superpixel-based Object Proposal Refinement—0
Deep Learning for Generic Object Detection: A Survey—0
Generating Discriminative Object Proposals via Submodular Ranking—0
High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and its Applications to High-Level Vision—0
Improving Point Cloud Semantic Segmentation by Learning 3D Object Detection—0
Learning to Combine Mid-Level Cues for Object Proposal Generation—0
Learning to Segment Object Candidates via Recursive Neural Networks—0
Localizing Small Apples in Complex Apple Orchard Environments—0
Manipulated Object Proposal: A Discriminative Object Extraction and Feature Fusion Framework for First-Person Daily Activity Recognition—0
Monocular 3D Object Detection for Autonomous Driving—0
Multi-Scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation—0
Multi-stage Object Detection with Group Recursive Learning—0
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