SOTAVerified

Region Proposal

Papers

Showing 301–350 of 373 papers

TitleStatusHype
Saliency deep embedding for aurora image search—0
SNIPER: Efficient Multi-Scale TrainingCode2
An Anchor-Free Region Proposal Network for Faster R-CNN based Text Detection Approaches—0
Fusing Saliency Maps with Region Proposals for Unsupervised Object Localization—0
Regional Priority Based Anomaly Detection using Autoencoders—0
Speeding-up Object Detection Training for Robotics with FALKON—0
Optimizing the Trade-off between Single-Stage and Two-Stage Object Detectors using Image Difficulty Prediction—0
Complex-YOLO: Real-time 3D Object Detection on Point CloudsCode2
Face-MagNet: Magnifying Feature Maps to Detect Small FacesCode0
Domain Adaptive Faster R-CNN for Object Detection in the WildCode1
Scale Optimization for Full-Image-CNN Vehicle Detection—0
Sliding Line Point Regression for Shape Robust Scene Text DetectionCode0
Localization-Aware Active Learning for Object Detection—0
Joint 3D Proposal Generation and Object Detection from View AggregationCode0
Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image TranslationCode0
Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or NetworkCode0
Frustum PointNets for 3D Object Detection from RGB-D DataCode1
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object DetectionCode1
Feature Enhancement Network: A Refined Scene Text Detector—0
Multi-label Image Recognition by Recurrently Discovering Attentional Regions—0
Cascade Region Proposal and Global Context for Deep Object Detection—0
Fast Fine-grained Image Classification via Weakly Supervised Discriminative Localization—0
UBSegNet: Unified Biometric Region of Interest Segmentation Network—0
Zoom Out-and-In Network with Map Attention Decision for Region Proposal and Object DetectionCode0
Fused Text Segmentation Networks for Multi-oriented Scene Text Detection—0
Too Far to See? Not Really! --- Pedestrian Detection with Scale-aware Localization Policy—0
SPARCNN: SPAtially Related Convolutional Neural Networks—0
CoupleNet: Coupling Global Structure with Local Parts for Object DetectionCode0
Focal Loss for Dense Object DetectionCode2
Deep Detection of People and their Mobility Aids for a Hospital Robot—0
Spatio-Temporal Action Detection with Cascade Proposal and Location Anticipation—0
Traffic scene recognition based on deep cnn and vlad spatial pyramids—0
Detecting and Grouping Identical Objects for Region Proposal and Classification—0
Object-Extent Pooling for Weakly Supervised Single-Shot Localization—0
Drone-based Object Counting by Spatially Regularized Regional Proposal Network—0
Residual Features and Unified Prediction Network for Single Stage DetectionCode0
Ubernet: Training a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision Using Diverse Datasets and Limited Memory—0
R2CNN: Rotational Region CNN for Orientation Robust Scene Text DetectionCode0
Robust Tracking Using Region Proposal Networks—0
Attention-based Natural Language Person Retrieval—0
AMTnet: Action-Micro-Tube Regression by End-to-end Trainable Deep Architecture—0
Multi-Path Region-Based Convolutional Neural Network for Accurate Detection of Unconstrained "Hard Faces"—0
Geometry-Based Region Proposals for Real-Time Robot Detection of Tabletop ObjectsCode0
Arbitrary-Oriented Scene Text Detection via Rotation ProposalsCode0
Learning Chained Deep Features and Classifiers for Cascade in Object DetectionCode0
Automatic Handgun Detection Alarm in Videos Using Deep LearningCode0
Deep Region Hashing for Efficient Large-scale Instance Search from Images—0
Deep Learning for Logo Recognition—0
Hierarchical Object Detection with Deep Reinforcement LearningCode0
StuffNet: Using 'Stuff' to Improve Object DetectionCode0
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