mlsanityData to 7 Oct 2026

Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things

arXiv 2011.08612 ↗First posted 17 Nov 2020cs.AI cs.CV cs.LGcited by 110

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Abstract (arXiv)

In the Internet of Things (IoT) era, billions of sensors and devices collect and process data from the environment, transmit them to cloud centers, and receive feedback via the internet for connectivity and perception. However, transmitting massive amounts of heterogeneous data, perceiving complex environments from these data, and then making smart decisions in a timely manner are difficult. Artificial intelligence (AI), especially deep learning, is now a proven success in various areas including computer vision, speech recognition, and natural language processing. AI introduced into the IoT heralds the era of artificial intelligence of things (AIoT). This paper presents a comprehensive survey on AIoT to show how AI can empower the IoT to make it faster, smarter, greener, and safer. Specifically, we briefly present the AIoT architecture in the context of cloud computing, fog computing, and edge computing. Then, we present progress in AI research for IoT from four perspectives: perceiving, learning, reasoning, and behaving. Next, we summarize some promising applications of AIoT that are likely to profoundly reshape our world. Finally, we highlight the challenges facing AIoT and some potential research opportunities.

Key facts. Cited by 110 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 Nov 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 27; 2022: 25; 2023: 26; 2024: 14; 2025: 13; 2026: 5.

110 papers.

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  1. 2022ViTPose: Simple Vision Transformer Baselines for Human Pose Estimationcited by 450
  2. 2022Advancing Plain Vision Transformer Towards Remote Sensing Foundation Modelcited by 149
  3. 2021AP-10K: A Benchmark for Animal Pose Estimation in the Wildcited by 123
  4. 2022An Empirical Study of Remote Sensing Pretrainingcited by 105
  5. 2023SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentationcited by 103
  6. 2021Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learningcited by 95
  7. 2022Learning Affordance Grounding from Exocentric Imagescited by 82
  8. 2022Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challengescited by 81
  9. 2022DeepSolo: Let Transformer Decoder with Explicit Points Solo for Text Spottingcited by 74
  10. 2022ViTPose++: Vision Transformer for Generic Body Pose Estimationcited by 65
  11. 2021Privacy-Preserving Portrait Mattingcited by 60
  12. 2021FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysiscited by 60
38 more
  1. 2021Deep Automatic Natural Image Mattingcited by 59
  2. 2021Group-aware Label Transfer for Domain Adaptive Person Re-identificationcited by 58
  3. 2022APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Trackingcited by 55
  4. 2022SASA: Semantics-Augmented Set Abstraction for Point-based 3D Object Detectioncited by 52
  5. 2022DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformercited by 50
  6. 2021Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformerscited by 49
  7. 2021DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic Segmentationcited by 45
  8. 2024IRSAM: Advancing Segment Anything Model for Infrared Small Target Detectioncited by 45
  9. 2021One-Shot Object Affordance Detection in the Wildcited by 40
  10. 2021Few-shot Backdoor Defense Using Shapley Estimationcited by 40
  11. 2022Toward Real-world Single Image Deraining: A New Benchmark and Beyondcited by 40
  12. 2022Robust Unlearnable Examples: Protecting Data Against Adversarial Learningcited by 34
  13. 2021One-Shot Affordance Detectioncited by 32
  14. 2022RU-Net: Regularized Unrolling Network for Scene Graph Generationcited by 28
  15. 2023Visual Instruction Tuning towards General-Purpose Multimodal Model: A Surveycited by 28
  16. 2021TGRNet: A Table Graph Reconstruction Network for Table Structure Recognitioncited by 27
  17. 2021Learning Visual Affordance Grounding from Demonstration Videoscited by 25
  18. 2021Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognitioncited by 25
  19. 2022Rethinking Portrait Matting with Privacy Preservingcited by 25
  20. 2023RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentationcited by 24
  21. 2021SAR-Net: A Scenario-Aware Ranking Network for Personalized Fair Recommendation in Hundreds of Travel Scenarioscited by 23
  22. 2022GLT-T: Global-Local Transformer Voting for 3D Single Object Tracking in Point Cloudscited by 23
  23. 2022Referring Image Mattingcited by 22
  24. 2021Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Predictioncited by 21
  25. 2022Grounded Affordance from Exocentric Viewcited by 21
  26. 2021Stagewise Unsupervised Domain Adaptation with Adversarial Self-Training for Road Segmentation of Remote Sensing Imagescited by 20
  27. 2022Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamicscited by 20
  28. 2021Pose-Guided Feature Learning with Knowledge Distillation for Occluded Person Re-Identificationcited by 19
  29. 2023Event-based Simultaneous Localization and Mapping: A Comprehensive Surveycited by 17
  30. 2023OSP2B: One-Stage Point-to-Box Network for 3D Siamese Trackingcited by 16
  31. 2021I3CL:Intra- and Inter-Instance Collaborative Learning for Arbitrary-shaped Scene Text Detectioncited by 14
  32. 2023Scalable Mask Annotation for Video Text Spottingcited by 13
  33. 2024Towards Category Unification of 3D Single Object Tracking on Point Cloudscited by 13
  34. 2023Deep Image Matting: A Comprehensive Surveycited by 12
  35. 2023DCN-T: Dual Context Network with Transformer for Hyperspectral Image Classificationcited by 12
  36. 2024Artificial Intelligence of Things: A Surveycited by 12
  37. 2025Image Quality Assessment: From Human to Machine Preferencecited by 12
  38. 2021The USYD-JD Speech Translation System for IWSLT 2021cited by 11

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