Physics-aware state space network with uncertainty quantification for automated defect detection in infrared NDT thermography
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OpenAlex topics: Thermography and Photoacoustic Techniques · Machine Learning in Materials Science · Industrial Vision Systems and Defect Detection
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References (67)
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1. He K, Zhang X, Ren S, Sun J. Deep residual learning for image recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition. 2016, p. 770–8.10.1109/CVPR.2016.90 ↗
2. Efficientnet: Rethinking model scaling for convolutional neural networks
3. Dosovitskiy · 2020
4. H-vmunet: High-order vision mamba unet for medical image segmentation
5. Hornet: Efficient high-order spatial interactions with recursive gated convolutions
6. Vmamba: Visual state space model
7. LKCA: large kernel convolutional attention
8. Ding X, Zhang X, Han J, Ding G. Scaling up your kernels to 31x31: Revisiting large kernel design in cnns. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition. 2022, p. 11963–75.10.1109/CVPR52688.2022.01166 ↗
9. MSLKNet: A multi-scale large kernel convolutional network for radar extrapolation10.3390/atmos15010052 ↗
10. Training data-efficient image transformers & distillation through attention
11. Long J, Shelhamer E, Darrell T. Fully convolutional networks for semantic segmentation. In: Proceedings of the IEEE conference on computer vision and pattern recognition. 2015, p. 3431–40.10.1109/CVPR.2015.7298965 ↗
12. U-net: Convolutional networks for biomedical image segmentation
13. Oktay · 2018
14. Attention swin u-net: Cross-contextual attention mechanism for skin lesion segmentation
15. Peng · 2023
16. Malunet: A multi-attention and light-weight unet for skin lesion segmentation
17. Transnorm: Transformer provides a strong spatial normalization mechanism for a deep segmentation model10.1109/ACCESS.2022.3211501 ↗
18. MHAU-net: Skin lesion segmentation based on multi-scale hybrid residual attention network10.3390/s22228701 ↗
19. Combining recurrent, convolutional, and continuous-time models with linear state space layers
20. Gu · 2021
21. Gu · 2023
22. Zhu · 2024
23. Wang · 2024
24. Temporal and spatial deep learning network for infrared thermal defect detection10.1016/j.ndteint.2019.102164 ↗
25. Semiautonomous pipeline inspection using infrared thermography and unmanned aerial vehicles10.1109/TII.2023.3295409 ↗
26. Capability of active thermography to detect and localize pores in metal additive manufacturing materials
27. A fully automated halogen lock-in thermography test procedure to verify the alignment of CFRP wing spars
28. Differentiate tensor low rank soft decomposition in thermography defect detection10.1016/j.ndteint.2023.102902 ↗
29. Ppt level carbon monoxide detection based on light-induced thermoelastic spectroscopy exploring custom quartz tuning forks and a mid-infrared QCL10.1364/OE.434128 ↗
30. PCA-based face recognition in infrared imagery: Baseline and comparative studies
31. Internal defect detection of structures based on infrared thermography and deep learning10.1007/s12205-023-0391-7 ↗
32. Hu · 2023
33. Ma · 2024
34. Segmamba: Long-range sequential modeling mamba for 3d medical image segmentation
35. Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations10.1016/j.jcp.2018.10.045 ↗
36. Measurement of thermal diffusivity and evaluation of fiber condition of discontinuous fiber CFRP10.1016/j.infrared.2021.103743 ↗
37. Review of PTB measurements on emissivity, reflectivity and transmissivity of semitransparent fiber-reinforced plastic composites10.1007/s10765-019-2498-0 ↗
38. Automatic defects detection in CFRP thermograms, using convolutional neural networks and transfer learning10.1016/j.infrared.2019.103048 ↗
39. Automatic segmentation of microporous defects in composite film materials based on the improved attention U-net module
40. Defect detection in CFRP combining SK-means clustering and probability of detection analysis
41. A flexible deep learning framework for thermographic inspection of composites10.1016/j.ndteint.2023.102926 ↗
42. Automated CFRP impact damage detection with statistical thermographic data and machine learning10.1016/j.ijthermalsci.2024.109411 ↗
43. Automatic detection and identification of defects by deep learning algorithms from pulsed thermography data10.3390/s23094444 ↗
44. Advanced thermal imaging processing and deep learning integration for enhanced defect detection in carbon fiber-reinforced polymer laminates10.3390/ma18071448 ↗
45. Chen · 2024
46. Ma · 2024
47. Videomamba: State space model for efficient video understanding
48. Understanding physics-informed neural networks: techniques, applications, trends, and challenges10.3390/ai5030074 ↗
49. Alsharif · 2024
50. Physics informed neural networks for solving inverse thermal wave coupled boundary-value problems10.1016/j.ijheatmasstransfer.2025.126985 ↗
51. Physics-informed neural networks for defect detection and thermal diffusivity evaluation in carbon fiber reinforced polymer using pulsed thermography
52. Fisher’s information matrix approach for Fourier features physics-informed neural networks for two-dimensional local time-fractional anomalous diffusion equations with nonlinear thermal diffusivity10.1108/HFF-11-2024-0889 ↗
53. Physics-informed neural operator for learning partial differential equations
54. Valiuddin · 2024
55. Uncertainty quantification for a deep learning models for image-based crack segmentation10.1007/s13349-024-00879-6 ↗
56. Epistemic and aleatoric uncertainty quantification for crack detection using a Bayesian boundary aware convolutional network10.1016/j.ress.2023.109547 ↗
57. Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation10.1016/j.compbiomed.2023.107096 ↗
58. Lambert · 2022
59. Xu · 2024
60. Lianghui · 2024
61. Split BiRNN for real-time activity recognition using radar and deep learning10.1038/s41598-022-08240-x ↗
62. Yang · 2024
63. Wang · 2024
64. Samba: Semantic segmentation of remotely sensed images with state space model10.1016/j.heliyon.2024.e38495 ↗
65. Memory linked knowledge domain transfer few-shot learning for thermography nondestructive evaluation system10.1016/j.infrared.2023.104718 ↗
66. SegFormer: Simple and efficient design for semantic segmentation with transformers
67. Swin-unet: Unet-like pure transformer for medical image segmentation