SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–50 of 54 papers

TitleStatusHype
Adapting Pre-Trained Vision Models for Novel Instance Detection and SegmentationCode2
Selective Convolutional Descriptor Aggregation for Fine-Grained Image RetrievalCode1
UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object DetectionCode1
Superpixel-based Refinement for Object Proposal GenerationCode1
Class-agnostic Object Detection with Multi-modal TransformerCode1
PointRCNN: 3D Object Proposal Generation and Detection from Point CloudCode1
4D-StOP: Panoptic Segmentation of 4D LiDAR using Spatio-temporal Object Proposal Generation and AggregationCode1
3D Object Detection with PointformerCode1
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
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
Object Proposal Generation using Two-Stage Cascade SVMs—0
ProposalCLIP: Unsupervised Open-Category Object Proposal Generation via Exploiting CLIP Cues—0
Real-time 3D object proposal generation and classification under limited processing resources—0
Relation Graph Network for 3D Object Detection in Point Clouds—0
Salient Object Detection: A Survey—0
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
Object cosegmentation using deep Siamese network—0
Object Detection by Labeling Superpixels—0
Object Discovery via Cohesion Measurement—0
Multi-View 3D Object Detection Network for Autonomous DrivingCode0
AttentionMask: Attentive, Efficient Object Proposal Generation Focusing on Small ObjectsCode0
CASENet: Deep Category-Aware Semantic Edge DetectionCode0
Convolutional Channel FeaturesCode0
Object proposal generation applying the distance dependent Chinese restaurant processCode0
Fast Segment AnythingCode0
Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal GenerationCode0
Semantic Edge Detection with Diverse Deep SupervisionCode0
Semantic Instance Segmentation via Deep Metric LearningCode0
Show:102550
← PrevPage 1 of 2Next →

No leaderboard results yet.