On the public citation graph
Surrogate Object Detection Explainer (SODEx) with YOLOv4 and LIME
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot
Microsoft COCO: Common Objects in Context
inferredcites →https://doi.org/10.1007/978-3-319-46448-0_2openalex-snapshot
SSD: Single Shot MultiBox Detector
inferredcites →https://doi.org/10.1007/978-3-540-88688-4openalex-snapshot
Computer Vision – ECCV 2008
inferredcites →https://doi.org/10.1016/j.inffus.2019.12.012openalex-snapshot
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
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.2017.690openalex-snapshot
YOLO9000: Better, Faster, Stronger
inferredcites →https://doi.org/10.1109/iccv.2017.324openalex-snapshot
Focal Loss for Dense Object Detection
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1111/j.2517-6161.1996.tb02080.xopenalex-snapshot
Regression Shrinkage and Selection Via the Lasso
inferredcites →https://doi.org/10.1613/jair.1.12228openalex-snapshot
A Survey on the Explainability of Supervised Machine Learning
inferredcites →https://doi.org/10.3390/electronics10091091openalex-snapshot
Real-Time On-Board Deep Learning Fault Detection for Autonomous UAV Inspections
inferredcites →https://doi.org/10.3390/sym10060183openalex-snapshot
A Synthetic Fusion Rule for Salient Region Detection under the Framework of DS-Evidence Theory
inferredcites →https://doi.org/10.48550/arxiv.1708.02002openalex-snapshot
Focal Loss for Dense Object Detection
inferredcites →https://doi.org/10.48550/arxiv.1804.02767openalex-snapshot
YOLOv3: An Incremental Improvement
inferredcites →https://doi.org/10.48550/arxiv.2004.10934openalex-snapshot
YOLOv4: Optimal Speed and Accuracy of Object Detection
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-032-02813-6_9openalex-snapshot
ODExAI: A Comprehensive Object Detection Explainable AI Evaluation
inferred← citeshttps://doi.org/10.1007/978-3-032-07343-3_32openalex-snapshot
SABSE: Segmentation-Assisted Baseline Shapley Values
inferred← citeshttps://doi.org/10.1007/978-981-95-4395-3_3openalex-snapshot
Near Real Time Explainable Detection of Small Objects in Remote Sensing
inferred← citeshttps://doi.org/10.1016/j.ins.2023.119851openalex-snapshot
REPROT: Explaining the predictions of complex deep learning architectures for object detection through reducts of an image
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2025.121588openalex-snapshot
AveragedLIME for general explanations in EEG domain
inferred← citeshttps://doi.org/10.1016/j.procs.2022.11.005openalex-snapshot
An Overview and Comparison of XAI Methods for Object Detection in Computer Tomography
inferred← citeshttps://doi.org/10.1016/j.rineng.2024.103498openalex-snapshot
On the black-box explainability of object detection models for safe and trustworthy industrial applications
inferred← citeshttps://doi.org/10.1109/access.2023.3347038openalex-snapshot
Intrinsic Explainability for End-to-End Object Detection
inferred← citeshttps://doi.org/10.1109/access.2025.3574140openalex-snapshot
Predicting Freshman Recruitment Rates: A Comparative Analysis of Metropolitan and Non-Metropolitan Universities in South Korea
inferred← citeshttps://doi.org/10.1109/iscait69154.2026.11477435openalex-snapshot
Interpretability in Object Detection: A Survey and Instance-Level Evaluation
inferred← citeshttps://doi.org/10.1109/ssci51031.2022.10022096openalex-snapshot
Enhancing Visualization and Explainability of Computer Vision Models with Local Interpretable Model-Agnostic Explanations (LIME)
inferred← citeshttps://doi.org/10.1117/12.3014274openalex-snapshot
Synthetic augmentation methods for object detection in infrared overhead imagery
inferred← citeshttps://doi.org/10.2139/ssrn.6585565openalex-snapshot
Explainable AI Methods for Object Detection in Safety-CriticalApplications: A Systematic Review
inferred← citeshttps://doi.org/10.32604/cmc.2023.034876openalex-snapshot
RT-YOLO: A Residual Feature Fusion Triple Attention Network for Aerial Image Target Detection
inferred← citeshttps://doi.org/10.32985/ijeces.14.2.5openalex-snapshot
Human Face Emotions Recognition from Thermal Images Using DenseNet
inferred← citeshttps://doi.org/10.5194/egusphere-2024-792-cc1openalex-snapshot
Comment on egusphere-2024-792
inferred← citeshttps://doi.org/10.5194/egusphere-2024-792-rc1openalex-snapshot
Comment on egusphere-2024-792
inferred← citeshttps://doi.org/10.5194/esurf-13-167-2025openalex-snapshot
Automatic detection of floating instream large wood in videos using deep learning
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