Explaining What Machines See: XAI Strategies in Deep Object Detection Models | Paper Citation Record

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This paper cites Deep learning,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Deep learning,

Reference 1

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This paper cites ‘Why Should I Trust You?’ | Proceedings of the 22nd ACM SIGKDD Interna- tional Conference on Knowledge Discovery and Data Mining.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models ‘Why Should I Trust You?’ | Proceedings of the 22nd ACM SIGKDD Interna- tional Conference on Knowledge Discovery and Data Mining

Reference 2

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This paper cites (PDF) Causability and explainabilty of artificial intelligence in medicine,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models (PDF) Causability and explainabilty of artificial intelligence in medicine,

Reference 3

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This paper cites DARPA’s explainable artificial intelligence program,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models DARPA’s explainable artificial intelligence program,

Reference 4

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This paper cites Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey | Request PDF.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey | Request PDF

Reference 5

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This paper cites Explainable AI: A comprehensive review of the main methods,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Explainable AI: A comprehensive review of the main methods,

Reference 6

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This paper cites What is an attention mechanism? | IBM.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models What is an attention mechanism? | IBM

Reference 7

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This paper cites Explainable AI: The Path To Human -Friendly Artificial Intelli- gence,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Explainable AI: The Path To Human -Friendly Artificial Intelli- gence,

Reference 8

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This paper cites Fast Explanation Using Shapley Value for Object Detection,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Fast Explanation Using Shapley Value for Object Detection,

Reference 9

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This paper cites Object detection with deep learning: A review,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Object detection with deep learning: A review,

Reference 10

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This paper cites (PDF) Object Detection Performance: A Comparative Study.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models (PDF) Object Detection Performance: A Comparative Study

Reference 11

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This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Rich feature hierarchies for accurate object detection and semantic segmentation,

Reference 12

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This paper cites Fast R -CNN,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Fast R -CNN,

Reference 13

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This paper cites Faster R -CNN: Towards Real -Time Object Detection with Region Proposal Networks,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Faster R -CNN: Towards Real -Time Object Detection with Region Proposal Networks,

Reference 14

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This paper cites You only look once: Uni- fied, real-time object detection,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models You only look once: Uni- fied, real-time object detection,

Reference 15

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This paper cites SSD: Single Shot MultiBox Detector,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models SSD: Single Shot MultiBox Detector,

Reference 16

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This paper cites Efficientdet: Scalable and efficient object de- tection,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Efficientdet: Scalable and efficient object de- tection,

Reference 17

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This paper cites GSM -HM: Generation of Saliency Maps for Black-Box Object Detection Model Based on Hierarchical Masking,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models GSM -HM: Generation of Saliency Maps for Black-Box Object Detection Model Based on Hierarchical Masking,

Reference 20

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This paper cites A unified approach to interpreting model predic- tions,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models A unified approach to interpreting model predic- tions,

Reference 21

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This paper cites (PDF) RISE: Randomized Input Sampling for Explanation of Black -box Mod- els.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models (PDF) RISE: Randomized Input Sampling for Explanation of Black -box Mod- els

Reference 22

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This paper cites MFPP: Morphological Fragmental Perturbation Pyramid for Black -Box Model Explanations,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models MFPP: Morphological Fragmental Perturbation Pyramid for Black -Box Model Explanations,

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This paper cites Deep inside convolutional net- works: Visualising image classification models and saliency maps,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Deep inside convolutional net- works: Visualising image classification models and saliency maps,

Reference 24

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This paper cites Learning deep features for discriminative localization,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Learning deep features for discriminative localization,

Reference 25

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This paper cites Grad-CAM: Visual Explanations from Deep Networks via Gradient -based Lo- calization,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Grad-CAM: Visual Explanations from Deep Networks via Gradient -based Lo- calization,

Reference 26

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This paper cites GradCAM-architecture.png (PNG Image, 1600 × 764 pixels) — Scaled (95%).

Explaining What Machines See: XAI Strategies in Deep Object Detection Models GradCAM-architecture.png (PNG Image, 1600 × 764 pixels) — Scaled (95%)

Reference 27

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Explaining What Machines See: XAI Strategies in Deep Object Detection Models Grad - CAM++: Generalized Gradient -Based Visual Explanations for Deep Convolu- tional Networks,

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This paper cites Explainable deep learning models in medical image analysis,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Explainable deep learning models in medical image analysis,

Reference 29

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This paper cites Heatmap -based Expla- nation of YOLOv5 Object Detection with Layer -wise Relevance Propagation,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Heatmap -based Expla- nation of YOLOv5 Object Detection with Layer -wise Relevance Propagation,

Reference 30

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This paper cites Contrastive Relevance Propagation for Interpreting Predictions by a Single -Shot Object De- tector,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Contrastive Relevance Propagation for Interpreting Predictions by a Single -Shot Object De- tector,

Reference 31

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This paper cites Black-box explanation of object detectors via saliency maps,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Black-box explanation of object detectors via saliency maps,

Reference 32

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Explaining What Machines See: XAI Strategies in Deep Object Detection Models Surrogate Object Detection Ex- plainer (SODEx) with YOLOv4 and LIME,

Reference 33

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This paper cites Model -agnostic explainable artificial intelligence for object detection in image data,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Model -agnostic explainable artificial intelligence for object detection in image data,

Reference 34

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This paper cites BSED: Baseline Shapley -Based Explainable De- tector,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models BSED: Baseline Shapley -Based Explainable De- tector,

Reference 35

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This paper cites Towards Better Explanations for Object Detection,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Towards Better Explanations for Object Detection,

Reference 36

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Explaining What Machines See: XAI Strategies in Deep Object Detection Models Unresolved cited work

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This paper cites Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions

Reference 38

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This paper cites On the black -box ex- plainability of object detection models for safe and trustworthy industrial appli- cations,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models On the black -box ex- plainability of object detection models for safe and trustworthy industrial appli- cations,

Reference 39

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This paper cites G-CAME: Gaussian-Class Activation Mapping Explainer for Object Detectors.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models G-CAME: Gaussian-Class Activation Mapping Explainer for Object Detectors

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This paper cites Human attention guided explain- able artificial intelligence for computer vision models,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Human attention guided explain- able artificial intelligence for computer vision models,

Reference 41

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This paper cites Spatial Sensitive Grad -CAM++: Improved Visual Explanation for Object Detectors via Weighted Combination of Gradient Map.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Spatial Sensitive Grad -CAM++: Improved Visual Explanation for Object Detectors via Weighted Combination of Gradient Map

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This paper cites Spatial sensitive grad-cam: Visual explanations for object detection by incorporating spatial sensitivity,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Spatial sensitive grad-cam: Visual explanations for object detection by incorporating spatial sensitivity,

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This paper cites Optimisation of Deep Learning Small-Object Detectors with Novel Explainable Verification.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Optimisation of Deep Learning Small-Object Detectors with Novel Explainable Verification

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This paper cites Gradient-Based Instance-Specific Visual Explanations for Object Specification and Object Discrimination,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Gradient-Based Instance-Specific Visual Explanations for Object Specification and Object Discrimination,

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This paper cites Towards Interpretable Object Detection by Unfolding La- tent Structures,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Towards Interpretable Object Detection by Unfolding La- tent Structures,

Reference 46

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This paper cites Revealing hidden context bias in segmentation and object detection through concept -spe- cific explanations,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Revealing hidden context bias in segmentation and object detection through concept -spe- cific explanations,

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This paper cites Intrinsic Explainability for End -to-End Object Detection,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Intrinsic Explainability for End -to-End Object Detection,

Reference 48

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This paper cites Towards Human -Like Interpretable Object Detection Via Spatial Relation Encoding,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Towards Human -Like Interpretable Object Detection Via Spatial Relation Encoding,

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This paper cites The Pascal Visual Object Classes Challenge: A Retrospective | International Journal of Computer Vision.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models The Pascal Visual Object Classes Challenge: A Retrospective | International Journal of Computer Vision

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This paper cites Microsoft coco: Common objects in context,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Microsoft coco: Common objects in context,

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Observation 4ff34e93-23c1-4932-968e-d7e8de587e20 · outbound

This paper cites Bdd100k: A diverse driving dataset for heterogeneous multitask learning,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Bdd100k: A diverse driving dataset for heterogeneous multitask learning,

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This paper cites CrowdHuman: A Benchmark for Detecting Human in a Crowd.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models CrowdHuman: A Benchmark for Detecting Human in a Crowd

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This paper cites A pediatric wrist trauma X -ray dataset (GRAZPEDWRI -DX) for machine learning,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models A pediatric wrist trauma X -ray dataset (GRAZPEDWRI -DX) for machine learning,

Reference 54

Resolution: verified exact; doi, observed 2026-08-05T12:03:09.479891Z

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Observation 9a0676d4-79c5-4f86-ae35-aa93fc7cf9d1 · outbound

This paper cites Vision meets robotics: The KITTI dataset,.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Vision meets robotics: The KITTI dataset,

Reference 55

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Observation 7cb6f01a-7fea-4ac1-a0f6-af7480f63cde · outbound

This paper cites an unresolved cited work.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Unresolved cited work

Reference 57

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Observation d494875a-a12a-45b8-9406-ae5d33dda381 · outbound

This paper cites Available: https://openaccess.thecvf.com/con- tent_iccv_2015/html/Girshick_Fast_R-CNN_ICCV_2015_paper.html.

Explaining What Machines See: XAI Strategies in Deep Object Detection Models Available: https://openaccess.thecvf.com/con- tent_iccv_2015/html/Girshick_Fast_R-CNN_ICCV_2015_paper.html

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T12:03:11.621744Z

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