SOTAVerified

Region Proposal

Papers

Showing 201–250 of 373 papers

TitleStatusHype
Context-Aware Dynamic Feature Extraction for 3D Object Detection in Point CloudsCode0
Siamese Natural Language Tracker: Tracking by Natural Language Descriptions with Siamese TrackersCode0
One-Shot Object Detection with Co-Attention and Co-ExcitationCode1
Deeply Shape-guided Cascade for Instance SegmentationCode0
Tell Me What They're Holding: Weakly-supervised Object Detection with Transferable Knowledge from Human-object Interaction—0
Constrained R-CNN: A general image manipulation detection model—0
Mini Lesions Detection on Diabetic Retinopathy Images via Large Scale CNN Features—0
SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual TrackingCode0
Detecting Driveable Area for Autonomous Vehicles—0
A low-power end-to-end hybrid neuromorphic framework for surveillance applications—0
DeepACEv2: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks—0
Adaptive and Azimuth-Aware Fusion Network of Multimodal Local Features for 3D Object Detection—0
Patch Refinement -- Localized 3D Object Detection—0
Multi-label Detection and Classification of Red Blood Cells in Microscopic Images—0
WSOD2: Learning Bottom-Up and Top-Down Objectness Distillation for Weakly-Supervised Object DetectionCode0
Meta-RCNN: Meta Learning for Few-Shot Object Detection—0
Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive ConvolutionCode0
Recognizing Object Affordances to Support Scene Reasoning for Manipulation TasksCode0
WSOD2: Learning Bottom-up and Top-down Objectness Distillation forWeakly-supervised Object Detection—0
WSOD^2: Learning Bottom-up and Top-down Objectness Distillation for Weakly-supervised Object DetectionCode0
Universal Physical Camouflage Attacks on Object DetectorsCode0
MLOD: A multi-view 3D object detection based on robust feature fusion method—0
Knowledge-guided Pairwise Reconstruction Network for Weakly Supervised Referring Expression GroundingCode0
Adaptive Reconstruction Network for Weakly Supervised Referring Expression GroundingCode0
Relation Distillation Networks for Video Object DetectionCode1
C-RPNs: Promoting Object Detection in real world via a Cascade Structure of Region Proposal Networks—0
Reprojection R-CNN: A Fast and Accurate Object Detector for 360° Images—0
Delving Deep into Liver Focal Lesion Detection: A Preliminary Study—0
Robust Nucleus Detection from Microscopical Image with Partially Labeled ExemplarsCode0
An Efficient Target Detection and Recognition Method in Aerial Remote-sensing Images Based on Multiangle Regions-of-Interest—0
M3D-RPN: Monocular 3D Region Proposal Network for Object DetectionCode1
Voxel-FPN: multi-scale voxel feature aggregation in 3D object detection from point clouds—0
Small traffic sign detection from large image—0
Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently—0
Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST LabelsCode2
ToothNet: Automatic Tooth Instance Segmentation and Identification From Cone Beam CT Images—0
Multi-Task Self-Supervised Object Detection via Recycling of Bounding Box Annotations—0
You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection—0
Driver Behavior Analysis Using Lane Departure Detection Under Challenging Conditions—0
Vehicle Detection in Deep Learning—0
FAN: Focused Attention Networks—0
Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views—0
Arbitrary Shape Scene Text Detection with Adaptive Text Region Representation—0
Generalization ability of region proposal networks for multispectral person detection—0
Query-guided End-to-End Person SearchCode1
RRPN: Radar Region Proposal Network for Object Detection in Autonomous VehiclesCode0
Segmentation is All You Need—0
Single Pixel Reconstruction for One-stage Instance Segmentation—0
Embryo staging with weakly-supervised region selection and dynamically-decoded predictions—0
Deep Localization of Mixed Image Tampering Techniques—0
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