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Explainable AI Methods for Object Detection in Safety-CriticalApplications: A Systematic Review

https://doi.org/10.2139/ssrn.6585565
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Computer Vision Explainability for Object Detection in Safety Surveillance
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MANet: Mixed Attention Network for Visual Explanation
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A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts
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The Pragmatic Turn in Explainable Artificial Intelligence (XAI)
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Top-Down Neural Attention by Excitation Backprop
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Explainability of Deep Vision-Based Autonomous Driving Systems: Review and Challenges
inferredcites →https://doi.org/10.1007/s11263-024-02214-4openalex-snapshot
Contextual Object Detection with Multimodal Large Language Models
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“Quasi-Metacognitive Machines: Why We Don’t Need Morally Trustworthy AI and Communicating Reliability is Enough”
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Model-agnostic explainable artificial intelligence for object detection in image data
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Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions
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Object detection with multimodal large vision-language models: An in-depth review
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REPROT: Explaining the predictions of complex deep learning architectures for object detection through reducts of an image
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Visual explanation of black-box model: Similarity Difference and Uniqueness (SIDU) method
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On the receptive field misalignment in CAM-based visual explanations
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An Overview and Comparison of XAI Methods for Object Detection in Computer Tomography
inferredcites →https://doi.org/10.1016/j.rineng.2024.103498openalex-snapshot
On the black-box explainability of object detection models for safe and trustworthy industrial applications
inferredcites →https://doi.org/10.1038/s42256-019-0138-9openalex-snapshot
From local explanations to global understanding with explainable AI for trees
inferredcites →https://doi.org/10.1038/s42256-020-00287-7openalex-snapshot
An open source machine learning framework for efficient and transparent systematic reviews
inferredcites →https://doi.org/10.1038/s42256-024-00852-4openalex-snapshot
Challenges, evaluation and opportunities for open-world learning
inferredcites →https://doi.org/10.1109/3dv.2017.00012openalex-snapshot
Sparsity Invariant CNNs
inferredcites →https://doi.org/10.1109/access.2022.3206379openalex-snapshot
GSM-HM: Generation of Saliency Maps for Black-Box Object Detection Model Based on Hierarchical Masking
inferredcites →https://doi.org/10.1109/access.2023.3347038openalex-snapshot
Intrinsic Explainability for End-to-End Object Detection
inferredcites →https://doi.org/10.1109/access.2024.3369890openalex-snapshot
Fast Explanation Using Shapley Value for Object Detection
inferredcites →https://doi.org/10.1109/access.2024.3391424openalex-snapshot
BSED: Baseline Shapley-Based Explainable Detector
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Causal Attention-Based Lightweight and Efficient Cervical Cancer Cell Detection Model
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Model-agnostic Body Part Relevance Assessment for Pedestrian Detection Model Benchmarking
inferredcites →https://doi.org/10.1109/cvpr.2011.5995347openalex-snapshot
Unbiased look at dataset bias
inferredcites →https://doi.org/10.1109/cvpr.2016.319openalex-snapshot
Learning Deep Features for Discriminative Localization
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/cvpr46437.2021.01161openalex-snapshot
Center-based 3D Object Detection and Tracking
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00121openalex-snapshot
OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data
inferredcites →https://doi.org/10.1109/cvprw53098.2021.00017openalex-snapshot
Sparse Activation Maps for Interpreting 3D Object Detection
inferredcites →https://doi.org/10.1109/cvprw59228.2023.00376openalex-snapshot
ODSmoothGrad: Generating Saliency Maps for Object Detectors
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Revealing Hidden Context Bias in Segmentation and Object Detection through Concept-specific Explanations
inferredcites →https://doi.org/10.1109/icarsc55462.2022.9784772openalex-snapshot
Explainable Object Detection for Uncrewed Aerial Vehicles using KernelSHAP
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Fast R-CNN
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Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers
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Explaining Local, Global, And Higher-Order Interactions In Deep Learning
inferredcites →https://doi.org/10.1109/icicn56848.2022.10006535openalex-snapshot
ASMOD: Adaptive Saliency Map on Object Detection
inferredcites →https://doi.org/10.1109/issrew55968.2022.00083openalex-snapshot
Safety Assessment: From Black-Box to White-Box
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Explainable Attention-Based AAV Target Detection for Search and Rescue Scenarios
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Towards Real Time Interpretable Object Detection for UAV Platform by Saliency Maps
inferredcites →https://doi.org/10.1109/southeastcon52093.2024.10500215openalex-snapshot
RB-XAI: Relevance-Based Explainable AI for Traffic Detection in Autonomous Systems
inferredcites →https://doi.org/10.1109/tip.2024.3492733openalex-snapshot
Explainability Enhanced Object Detection Transformer With Feature Disentanglement
inferredcites →https://doi.org/10.1109/tnnls.2018.2876865openalex-snapshot
Object Detection With Deep Learning: A Review
inferredcites →https://doi.org/10.1109/tpami.2012.120openalex-snapshot
SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
inferredcites →https://doi.org/10.1109/tpami.2015.2437384openalex-snapshot
Region-Based Convolutional Networks for Accurate Object Detection and Segmentation
inferredcites →https://doi.org/10.1109/tpami.2024.3380604openalex-snapshot
Gradient-Based Instance-Specific Visual Explanations for Object Specification and Object Discrimination
inferredcites →https://doi.org/10.1109/tvcg.2021.3138933openalex-snapshot
Towards Better Caption Supervision for Object Detection
inferredcites →https://doi.org/10.1109/wacv.2018.00097openalex-snapshot
Grad-CAM++: Generalized Gradient-Based Visual Explanations for Deep Convolutional Networks
inferredcites →https://doi.org/10.1109/wacvw58289.2023.00029openalex-snapshot
YOLOv7-sea: Object Detection of Maritime UAV Images based on Improved YOLOv7
inferredcites →https://doi.org/10.1145/3514094.3534164openalex-snapshot
How Cognitive Biases Affect XAI-assisted Decision-making
inferredcites →https://doi.org/10.1145/3583558openalex-snapshot
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI
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Towards Faithful Model Explanation in NLP: A Survey
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The SAFE procedure: a practical stopping heuristic for active learning-based screening in systematic reviews and meta-analyses
inferredcites →https://doi.org/10.1371/journal.pone.0130140openalex-snapshot
On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
inferredcites →https://doi.org/10.1609/aaai.v34i04.6064openalex-snapshot
Sanity Checks for Saliency Metrics
inferredcites →https://doi.org/10.1609/aaai.v38i5.28227openalex-snapshot
Semi-supervised Open-World Object Detection
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The Next Generation of Medical Decision Support: A Roadmap Toward Transparent Expert Companions
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Explainability and Interpretability in Concept and Data Drift: A Systematic Literature Review
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Adaptation of Grad-CAM Method to Neural Network Architecture for LiDAR Pointcloud Object Detection
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Surrogate Object Detection Explainer (SODEx) with YOLOv4 and LIME
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Identification and Explanation of Challenging Conditions for Camera-Based Object Detection of Automated Vehicles
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Optimisation of Deep Learning Small-Object Detectors with Novel Explainable Verification
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Linguistic Explanations of Black Box Deep Learning Detectors on Simulated Aerial Drone Imagery
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Explaining Bounding Boxes in Deep Object Detectors Using Post Hoc Methods for Autonomous Driving Systems
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A Novel Hybrid XAI Solution for Autonomous Vehicles: Real-Time Interpretability Through LIME–SHAP Integration
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Snakes in Trees: An Explainable Artificial Intelligence Approach for Automatic Object Detection and Recognition
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YOLO: You Only Look 10647 Times
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Focused Decoding Enables 3D Anatomical Detection by Transformers
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