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Measurement of Retained Austenite in Gear Steel Microstructure Using a Novel Semi-Supervised Segmentation Framework

https://doi.org/10.2139/ssrn.5994560
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s40192-017-0097-0openalex-snapshot
UHCSDB: UltraHigh Carbon Steel Micrograph DataBase
inferredcites →https://doi.org/10.1016/j.commatsci.2024.113199openalex-snapshot
Metallographic image segmentation using feature pyramid based recurrent residual U-Net
inferredcites →https://doi.org/10.1016/j.inffus.2021.09.018openalex-snapshot
A tutorial on the segmentation of metallographic images: Taxonomy, new MetalDAM dataset, deep learning-based ensemble model, experimental analysis and challenges
inferredcites →https://doi.org/10.1016/j.isprsjprs.2020.01.013openalex-snapshot
ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data
inferredcites →https://doi.org/10.1017/s1431927618015635openalex-snapshot
High Throughput Quantitative Metallography for Complex Microstructures Using Deep Learning: A Case Study in Ultrahigh Carbon Steel
inferredcites →https://doi.org/10.1038/s41598-018-20037-5openalex-snapshot
Advanced Steel Microstructural Classification by Deep Learning Methods
inferredcites →https://doi.org/10.1038/s41598-023-32318-9openalex-snapshot
Microstructural segmentation using a union of attention guided U-Net models with different color transformed images
inferredcites →https://doi.org/10.1109/4.996openalex-snapshot
Design of an image edge detection filter using the Sobel operator
inferredcites →https://doi.org/10.1109/access.2021.3059505openalex-snapshot
Semi-Supervised Learning Framework for Aluminum Alloy Metallographic Image Segmentation
inferredcites →https://doi.org/10.1109/access.2023.3305269openalex-snapshot
Semi-Supervised Metallographic Image Segmentation via Consistency Regularization and Contrastive Learning
inferredcites →https://doi.org/10.1109/tpami.2018.2858821openalex-snapshot
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
inferredcites →https://doi.org/10.1145/3422622openalex-snapshot
Generative adversarial networks
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