IPSM-Bench: A New Intermediate Phase Segmentation Benchmark in Microstructure Images of Zinc-Based Absorbable Biomaterials
Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence. Main Track. Pages 1929-1937.
https://doi.org/10.24963/ijcai.2026/215
Keywords
- Computer Vision: Segmentation, grouping and shape analysis
- Multidisciplinary Topics and Applications: Other
Abstract
Zinc-based alloys are indispensable emerging absorbable metallic biomaterials, and their macroscopic performance is governed by microstructural characteristics. Intermediate phases—key microstructural constituents—are pivotal in regulating mechanical and functional properties. However, intermediate phase segmentation in zinc alloy microstructures faces formidable challenges: scarce annotated datasets, low contrast, difficulty detecting small targets, and heterogeneous morphologies. To this end, we construct IPSM-Bench, the largest high-quality dataset for zinc-alloy intermediate phase segmentation. Furthermore, we propose SCoP-SAM, a new Spatial Context Prior-guided SAM method that leverages the gradient structure and grayscale properties of intermediate phases to capture spatial context priors and incorporates them into the entire SAM encoding-decoding process, improving segmentation performance. Based on the proposed IPSM-Bench, we establish a new benchmark for intermediate phase segmentation to systematically evaluate state-of-the-art (SOTA) methods and advance research on zinc alloy microstructure analysis. Extensive experiments on IPSM-Bench and additional public alloy benchmarks demonstrate that our SCoP-SAM not only achieves SOTA performance for zinc-alloy intermediate phase segmentation but also generalizes remarkably well to other alloy scenarios.
@inproceedings{ijcai2026p215,
title = {IPSM-Bench: A New Intermediate Phase Segmentation Benchmark in Microstructure Images of Zinc-Based Absorbable Biomaterials},
author = {Xu, Jinglin and Zhao, Shangyan and Wang, Jiabo and Mu, Xinghong and Lei, Yulong and Zhang, Jiacheng and Sun, Hongbo and Li, Yageng},
booktitle = {Proceedings of the Thirty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-26}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Diego Calvanese},
pages = {1929--1937},
year = {2026},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2026/215},
url = {https://doi.org/10.24963/ijcai.2026/215},
}
TY - CPAPER TI - IPSM-Bench: A New Intermediate Phase Segmentation Benchmark in Microstructure Images of Zinc-Based Absorbable Biomaterials AU - Xu, Jinglin AU - Zhao, Shangyan AU - Wang, Jiabo AU - Mu, Xinghong AU - Lei, Yulong AU - Zhang, Jiacheng AU - Sun, Hongbo AU - Li, Yageng T2 - Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-26 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2026 SP - 1929 EP - 1937 DO - 10.24963/ijcai.2026/215 UR - https://doi.org/10.24963/ijcai.2026/215 ER -Copied
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