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Learning to Match Anchors for Visual Object Detection

https://doi.org/10.1109/tpami.2021.3050494
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4899-3242-6openalex-snapshot
Generalized Linear Models
inferredcites →https://doi.org/10.1007/978-3-030-01261-8_1openalex-snapshot
Group Normalization
inferredcites →https://doi.org/10.1007/978-3-030-01264-9_45openalex-snapshot
CornerNet: Detecting Objects as Paired Keypoints
inferredcites →https://doi.org/10.1007/978-3-030-01264-9_48openalex-snapshot
Acquisition of Localization Confidence for Accurate Object Detection
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot
Microsoft COCO: Common Objects in Context
inferredcites →https://doi.org/10.1007/s11263-019-01247-4openalex-snapshot
Deep Learning for Generic Object Detection: A Survey
inferredcites →https://doi.org/10.1098/rsta.1922.0009openalex-snapshot
On the mathematical foundations of theoretical statistics
inferredcites →https://doi.org/10.1109/cvpr.2014.81openalex-snapshot
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2016.91openalex-snapshot
You Only Look Once: Unified, Real-Time Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2017.106openalex-snapshot
Feature Pyramid Networks for Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2017.283openalex-snapshot
EAST: An Efficient and Accurate Scene Text Detector
inferredcites →https://doi.org/10.1109/cvpr.2017.634openalex-snapshot
Aggregated Residual Transformations for Deep Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2017.690openalex-snapshot
YOLO9000: Better, Faster, Stronger
inferredcites →https://doi.org/10.1109/cvpr.2018.00442openalex-snapshot
Single-Shot Refinement Neural Network for Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2018.00644openalex-snapshot
Cascade R-CNN: Delving Into High Quality Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2019.00075openalex-snapshot
Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression
inferredcites →https://doi.org/10.1109/cvpr.2019.00091openalex-snapshot
Libra R-CNN: Towards Balanced Learning for Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2019.00093openalex-snapshot
Feature Selective Anchor-Free Module for Single-Shot Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2019.00094openalex-snapshot
Bottom-Up Object Detection by Grouping Extreme and Center Points
inferredcites →https://doi.org/10.1109/cvpr.2019.00230openalex-snapshot
C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2019.00308openalex-snapshot
Region Proposal by Guided Anchoring
inferredcites →https://doi.org/10.1109/cvpr.2019.00537openalex-snapshot
Precise Detection in Densely Packed Scenes
inferredcites →https://doi.org/10.1109/cvpr.2019.00720openalex-snapshot
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
inferredcites →https://doi.org/10.1109/iccv.2015.169openalex-snapshot
Fast R-CNN
inferredcites →https://doi.org/10.1109/iccv.2017.324openalex-snapshot
Focal Loss for Dense Object Detection
inferredcites →https://doi.org/10.1109/iccv.2017.89openalex-snapshot
Deformable Convolutional Networks
inferredcites →https://doi.org/10.1109/iccv.2019.00059openalex-snapshot
Gaussian YOLOv3: An Accurate and Fast Object Detector Using Localization Uncertainty for Autonomous Driving
inferredcites →https://doi.org/10.1109/iccv.2019.00615openalex-snapshot
Scale-Aware Trident Networks for Object Detection
inferredcites →https://doi.org/10.1109/iccv.2019.00972openalex-snapshot
FCOS: Fully Convolutional One-Stage Object Detection
inferredcites →https://doi.org/10.1109/iccv.2019.00975openalex-snapshot
RepPoints: Point Set Representation for Object Detection
inferredcites →https://doi.org/10.1109/jproc.2023.3238524openalex-snapshot
Object Detection in 20 Years: A Survey
inferredcites →https://doi.org/10.1109/tpami.2019.2898858openalex-snapshot
Min-Entropy Latent Model for Weakly Supervised Object Detection
inferredcites →https://doi.org/10.1109/tpami.2020.2981890openalex-snapshot
Imbalance Problems in Object Detection: A Review
inferredcites →https://doi.org/10.48550/arxiv.1701.06659openalex-snapshot
DSSD : Deconvolutional Single Shot Detector
inferredcites →https://doi.org/10.48550/arxiv.1805.00123openalex-snapshot
CrowdHuman: A Benchmark for Detecting Human in a Crowd
inferredcites →https://doi.org/10.48550/arxiv.1809.03193openalex-snapshot
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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You Should Look at All Objects
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Branch aware assignment for object detection
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CPSS-FAT: A consistent positive sample selection for object detection with full adaptive threshold
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Keypoint regression strategy and angle loss based YOLO for object detection
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A Lightweight Object Detection Model for ROV‐Based Underwater Foreign Object Salvage
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Commutable cat swarm optimization-based object detection with the edge preservation
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Chronological Review and Performance Analysis of YOLO-Based Deep Learning Frameworks in Complex Geospatial Environments
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Two-stage re-parameterization and sample disentanglement network for surveillance vehicle detection
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ICIoU: Improved Loss Based on Complete Intersection Over Union for Bounding Box Regression
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Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation
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Oriented RepPoints for Aerial Object Detection
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A Dual Weighting Label Assignment Scheme for Object Detection
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Gaussian Label Distribution Learning for Spherical Image Object Detection
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One-to-Few Label Assignment for End-to-End Dense Detection
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Target Detection of Engineering Vehicles Based on Co-learning Labels
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Quantum-Inspired Frequency Attenuation for Enhanced Targeted Fabrication Attacks in Object Detection
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Performance-Guided Reinforced Active Learning for Object Detection
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Fusion of Attention Mechanism with Shape-Adaptive Rotational Object Detection
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Motion Prediction for Autonomous Vehicles Using Deep Learning Techniques
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Irregular Defect Detection Based on Adaptive Anchor and Multiscale Feature Fusion
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CrossDet: Crossline Representation for Object Detection
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Spatial Self-Distillation for Object Detection with Inaccurate Bounding Boxes
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Heterogeneous Diversity Driven Active Learning for Multi-Object Tracking
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Anchor-ViT: Spatially-Focused Vision Transformer for Distracted Driving Detection
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Laplace & LBP feature guided SAR ship detection method with adaptive feature enhancement block
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Sub-6-GHz Energy-Detection-Based Fast On-Chip Analog Spectrum Sensing With Learning-Driven Signal Classification
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Is Underwater Image Enhancement All Object Detectors Need?
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H2Det: A High-Speed and High-Accurate Ship Detector in SAR Images
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Adaptively Center-Shape Sensitive Sample Selection for Ship Detection in SAR Images
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CFAR-DP-FW: A CFAR-Guided Dual-Polarization Fusion Framework for Large-Scene SAR Ship Detection
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FCLGYOLO: Feature Constraint and Local Guided Global Feature for Fire Detection in Unmanned Aerial Vehicle Imagery
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MLC-Net: A Robust SAR Ship Detector With Speckle Noise and Multiscale Targets
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ALSS-YOLO: An Adaptive Lightweight Channel Split and Shuffling Network for TIR Wildlife Detection in UAV Imagery
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Semantic Assistance in SAR Object Detection: A Mask-Guided Approach
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Exploiting Discriminating Features for Fine-Grained Ship Detection in Optical Remote Sensing Images
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DAF-Net: Dual-Aperture Feature Fusion Network for Aircraft Detection on Complex-Valued SAR Image
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Enhancing, Refining, and Fusing: Towards Robust Multiscale and Dense Ship Detection
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Text-Guided Distribution Calibration for Few-Shot Object Detection in Remote Sensing Images
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Underwater shipwreck target detection based on audio-visual heterogeneous data
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MA-Net: Multi-Scale Adaptive Network for Oriented Object Detection in Remote Sensing Images
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A New Dataset, Poisson GAN and AquaNet for Underwater Object Grabbing
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Large-Scale Spatio-Temporal Person Re-Identification: Algorithms and Benchmark
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Convex-Hull Feature Adaptation for Oriented and Densely Packed Object Detection
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Decoupled R-CNN: Sensitivity-Specific Detector for Higher Accurate Localization
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Scale-Balanced Real-Time Object Detection With Varying Input-Image Resolution
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CrossDet++: Growing Crossline Representation for Object Detection
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KRRNet: Keypoint Relational Regression Network for Bottom-Up Anchor-Free Object Detection
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Efficient Task-Specific Feature Re-Fusion for More Accurate Object Detection and Instance Segmentation
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Probabilistic Assignment With Decoupled IoU Prediction for Visual Tracking
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SRRT: Exploring Search Region Regulation for Visual Object Tracking
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Adaptive Positive Sample Selection and Dynamic Soft Label Assignment for Keypoint Detection
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RaLiBEV: Radar and LiDAR BEV Fusion Learning for Anchor Box Free Object Detection Systems
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A Novel Dense Object Detector With Scale Balanced Sample Assignment and Refinement
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Object Detection for Aerial Images With Feature Enhancement and Soft Label Assignment
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FSANet: Feature-and-Spatial-Aligned Network for Tiny Object Detection in Remote Sensing Images
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M2VDet: Midpoints-to-Vertices Detection of Oriented Objects in Remote-Sensing Images
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EARL: An Elliptical Distribution Aided Adaptive Rotation Label Assignment for Oriented Object Detection in Remote Sensing Images
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DTSSNet: Dynamic Training Sample Selection Network for UAV Object Detection
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Fooling Aerial Detectors by Background Attack via Dual-Adversarial-Induced Error Identification
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Small Object Detection in Remote Sensing Images Based on Redundant Feature Removal and Progressive Regression
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Oriented Clustering Reppoints for Resident Space Objects Detection in Time Delay Integration Images
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EDADet: Encoder–Decoder Domain Augmented Alignment Detector for Tiny Objects in Remote Sensing Images
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Dense-Weak Ship Detection Based on Foreground-Guided Background Generation Network in SAR Images
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Dynamic Fusion Label Assignment Network for Remote Sensing Object Detection
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Dynamic Mutual Learning for Object Detection in Aerial Imagery
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A Novel Underwater Detection Method for Ambiguous Object Finding via Distraction Mining
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DFFR: DETR With Foreground-Guided Feature Refinement Network for End-to-End Underwater Object Detection
inferred← citeshttps://doi.org/10.1109/tim.2022.3187724openalex-snapshot
Reducing False Detections in Aerial Images by Exploiting the Context Information and Centroid Relationship
inferred← citeshttps://doi.org/10.1109/tim.2026.3652687openalex-snapshot
Gaussian Distribution-Based Dynamic Optimization for Capsule Robot Pose Estimation in Ultrasound Images
inferred← citeshttps://doi.org/10.1109/tim.2026.3718072openalex-snapshot
Reliable Tiny-Airborne-Object Detection via Prior-Guided Motion-Structure Verification
inferred← citeshttps://doi.org/10.1109/tip.2021.3126423openalex-snapshot
HTD: Heterogeneous Task Decoupling for Two-Stage Object Detection
inferred← citeshttps://doi.org/10.1109/tip.2022.3148874openalex-snapshot
A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection
inferred← citeshttps://doi.org/10.1109/tip.2022.3193223openalex-snapshot
PDNet: Toward Better One-Stage Object Detection With Prediction Decoupling
inferred← citeshttps://doi.org/10.1109/tip.2024.3374225openalex-snapshot
YOLOH: You Only Look One Hourglass for Real-Time Object Detection
inferred← citeshttps://doi.org/10.1109/tip.2024.3378457openalex-snapshot
CCDet: Confidence-Consistent Learning for Dense Object Detection
inferred← citeshttps://doi.org/10.1109/tip.2024.3457246openalex-snapshot
CWSCNet: Channel-Weighted Skip Connection Network for Underwater Object Detection
inferred← citeshttps://doi.org/10.1109/tits.2022.3140948openalex-snapshot
Dense Traffic Detection at Highway-Railroad Grade Crossings
inferred← citeshttps://doi.org/10.1109/tmech.2025.3532899openalex-snapshot
A Novel Transmission Line Inspection Method Based on the Shape-Aware Features Refinement Network
inferred← citeshttps://doi.org/10.1109/tmm.2021.3067439openalex-snapshot
Bal-R$^2$CNN: High Quality Recurrent Object Detection With Balance Optimization
inferred← citeshttps://doi.org/10.1109/tmm.2021.3092202openalex-snapshot
Horizontal-to-Vertical Video Conversion
inferred← citeshttps://doi.org/10.1109/tmm.2022.3223213openalex-snapshot
DETA: A Point-Based Tracker With Deformable Transformer and Task-Aligned Learning
inferred← citeshttps://doi.org/10.1109/tmm.2023.3340065openalex-snapshot
Sample Weighting with Hierarchical Equalization Loss for Dense Object Detection
inferred← citeshttps://doi.org/10.1109/tmm.2024.3371787openalex-snapshot
RaFPN: Relation-Aware Feature Pyramid Network for Dense Image Prediction
inferred← citeshttps://doi.org/10.1109/tmm.2024.3521850openalex-snapshot
LGSNet: Local-Global Semantics Learning Object Detection
inferred← citeshttps://doi.org/10.1109/tnnls.2021.3106641openalex-snapshot
Hierarchical Regression and Classification for Accurate Object Detection
inferred← citeshttps://doi.org/10.1109/tnnls.2023.3242323openalex-snapshot
Learning Oriented Object Detection via Naive Geometric Computing
inferred← citeshttps://doi.org/10.1109/tpami.2022.3166905openalex-snapshot
Scale-Aware Automatic Augmentations for Object Detection With Dynamic Training
inferred← citeshttps://doi.org/10.1109/tpami.2022.3212615openalex-snapshot
SiMaN: Sign-to-Magnitude Network Binarization
inferred← citeshttps://doi.org/10.1109/tpami.2023.3342120openalex-snapshot
CenterNet++ for Object Detection
inferred← citeshttps://doi.org/10.1109/tpami.2024.3361472openalex-snapshot
CPR++: Object Localization via Single Coarse Point Supervision
inferred← citeshttps://doi.org/10.1109/trs.2025.3537604openalex-snapshot
TransRAD: Retentive Vision Transformer for Enhanced Radar Object Detection
inferred← citeshttps://doi.org/10.1109/tsmc.2025.3624473openalex-snapshot
An Effective Interval Normalization Weighting Method for Accurate Object Detection
inferred← citeshttps://doi.org/10.1109/wacv51458.2022.00139openalex-snapshot
Improving Object Detection by Label Assignment Distillation
inferred← citeshttps://doi.org/10.1109/wacv56688.2023.00288openalex-snapshot
COPE: End-to-end trainable Constant Runtime Object Pose Estimation
inferred← citeshttps://doi.org/10.1111/exsy.13504openalex-snapshot
Joint object contour points and semantics for instance segmentation
inferred← citeshttps://doi.org/10.1117/1.jei.31.4.043009openalex-snapshot
Instance-based dynamic label assignment for object detection
inferred← citeshttps://doi.org/10.1117/12.2580650openalex-snapshot
Co-localization of fluorescent signals using deep learning with Manders overlapping coefficient
inferred← citeshttps://doi.org/10.1142/s0129065724500357openalex-snapshot
Multiple-in-Single-Out Object Detector Leveraging Spiking Neural Membrane Systems and Multiple Transformers
inferred← citeshttps://doi.org/10.1145/3474085.3475351openalex-snapshot
Disentangle Your Dense Object Detector
inferred← citeshttps://doi.org/10.1145/3488933.3488936openalex-snapshot
An Anchor-free Detector Based on Residual Feature Enhancement Pyramid Network for UAV Vehicle Detection
inferred← citeshttps://doi.org/10.1145/3584361openalex-snapshot
E-detector: Asynchronous Spatio-temporal for Event-based Object Detection in Intelligent Transportation System
inferred← citeshttps://doi.org/10.1145/3604078.3604126openalex-snapshot
Deep Learning object detection models: evolution and evaluation
inferred← citeshttps://doi.org/10.1609/aaai.v36i1.19975openalex-snapshot
Shape-Adaptive Selection and Measurement for Oriented Object Detection
inferred← citeshttps://doi.org/10.1609/aaai.v36i2.20019openalex-snapshot
Rethinking Pseudo Labels for Semi-supervised Object Detection
inferred← citeshttps://doi.org/10.18280/ria.370312openalex-snapshot
Automatic Medical Face Mask Recognition for COVID-19 Mitigation: Utilizing YOLO V5 Object Detection
inferred← citeshttps://doi.org/10.2478/cait-2022-0007openalex-snapshot
Combination of Resnet and Spatial Pyramid Pooling for Musical Instrument Identification
inferred← citeshttps://doi.org/10.28991/esj-2021-sper-14openalex-snapshot
Real-Time Monitoring of COVID-19 SOP in Public Gathering Using Deep Learning Technique
inferred← citeshttps://doi.org/10.3390/app14167162openalex-snapshot
Optimization and Application of Improved YOLOv9s-UI for Underwater Object Detection
inferred← citeshttps://doi.org/10.3390/bdcc7020094openalex-snapshot
Recognizing Similar Musical Instruments with YOLO Models
inferred← citeshttps://doi.org/10.3390/electronics12183835openalex-snapshot
Few-Shot Object Detection with Memory Contrastive Proposal Based on Semantic Priors
inferred← citeshttps://doi.org/10.3390/electronics12224646openalex-snapshot
Hierarchical Classification for Large-Scale Learning
inferred← citeshttps://doi.org/10.3390/jimaging8070193openalex-snapshot
Dynamic Label Assignment for Object Detection by Combining Predicted IoUs and Anchor IoUs
inferred← citeshttps://doi.org/10.3390/math11122655openalex-snapshot
Multi-Scale Feature Selective Matching Network for Object Detection
inferred← citeshttps://doi.org/10.3390/rs13142664openalex-snapshot
Sparse Label Assignment for Oriented Object Detection in Aerial Images
inferred← citeshttps://doi.org/10.3390/rs14040973openalex-snapshot
A Scale-Aware Pyramid Network for Multi-Scale Object Detection in SAR Images
inferred← citeshttps://doi.org/10.3390/rs14153637openalex-snapshot
Semantic-Edge-Supervised Single-Stage Detector for Oriented Object Detection in Remote Sensing Imagery
inferred← citeshttps://doi.org/10.3390/rs15030757openalex-snapshot
G-Rep: Gaussian Representation for Arbitrary-Oriented Object Detection
inferred← citeshttps://doi.org/10.3390/rs15133265openalex-snapshot
Small Object Detection Based on Deep Learning for Remote Sensing: A Comprehensive Review
inferred← citeshttps://doi.org/10.3390/s21134433openalex-snapshot
IoU Regression with H+L-Sampling for Accurate Detection Confidence
inferred← citeshttps://doi.org/10.3390/s22228693openalex-snapshot
End-to-End Network for Pedestrian Detection, Tracking and Re-Identification in Real-Time Surveillance System
inferred← citeshttps://doi.org/10.3390/s23073609openalex-snapshot
MSFFAL: Few-Shot Object Detection via Multi-Scale Feature Fusion and Attentive Learning
inferred← citeshttps://doi.org/10.3390/s24092905openalex-snapshot
YOLOv8-MU: An Improved YOLOv8 Underwater Detector Based on a Large Kernel Block and a Multi-Branch Reparameterization Module
inferred← citeshttps://doi.org/10.3390/s25051569openalex-snapshot
A Texture Reconstructive Downsampling for Multi-Scale Object Detection in UAV Remote-Sensing Images
inferred← citeshttps://doi.org/10.34133/remotesensing.0219openalex-snapshot
A Comprehensive Study on the Robustness of Deep Learning-Based Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking
inferred← citeshttps://doi.org/10.36227/techrxiv.14931603openalex-snapshot
AFOD: An Adaptable Framework for Object Detection in Event-based Vision
inferred← citeshttps://doi.org/10.36227/techrxiv.14931603.v1openalex-snapshot
AFOD: An Adaptable Framework for Object Detection in Event-based Vision
inferred← citeshttps://doi.org/10.37917/ijeee.20.1.15openalex-snapshot
Multiple Object Detection-Based Machine Learning Techniques
inferred← citeshttps://doi.org/10.4018/979-8-2600-0434-0.ch005openalex-snapshot
Research Redefined AI Tools, Trends, and Innovations in the Modern Era
inferred← citeshttps://doi.org/10.4108/eai.9-6-2022.174181openalex-snapshot
Review on One-Stage Object Detection Based on Deep Learning
inferred← citeshttps://doi.org/10.48550/arxiv.2103.09488openalex-snapshot
Revisiting the Loss Weight Adjustment in Object Detection
inferred← citeshttps://doi.org/10.48550/arxiv.2106.00184openalex-snapshot
Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation
inferred← citeshttps://doi.org/10.70675/ee0bf17bzcef4z49d7za988z687cd723b2c3openalex-snapshot
Comment l'imagerie polarimétrique peut contribuer à l'analyse profonde de scènes routières en conditions météorologiques dégradées
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