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SECrackSeg: A High-Accuracy Crack Segmentation Network Based on Proposed UNet with SAM2 S-Adapter and Edge-Aware Attention
Research article (Sensors, 2025) · cited 11× · AI/ML
SECrackSeg: A High-Accuracy Crack Segmentation Network Based on Proposed UNet with SAM2 S-Adapter and Edge-Aware Attention
Summary
SECrackSeg: A High-Accuracy Crack Segmentation Network Based on Proposed UNet with SAM2 S-Adapter and Edge-Aware Attention is a scholarly article[1].
Key Facts
SECrackSeg: A High-Accuracy Crack Segmentation Network Based on Proposed UNet with SAM2 S-Adapter and Edge-Aware Attention's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). SECrackSeg: A High-Accuracy Crack Segmentation Network Based on Proposed UNet with SAM2 S-Adapter and Edge-Aware Attention. Retrieved May 24, 2026, from https://4ort.xyz/entity/secrackseg-a-high-accuracy-crack-segmentation-network-based-on-proposed-unet-with-sam2-s-adapter-and-edge-aware-attentio
MLA“SECrackSeg: A High-Accuracy Crack Segmentation Network Based on Proposed UNet with SAM2 S-Adapter and Edge-Aware Attention.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/secrackseg-a-high-accuracy-crack-segmentation-network-based-on-proposed-unet-with-sam2-s-adapter-and-edge-aware-attentio.
BibTeX@misc{4ortxyz_secrackseg-a-high-accuracy-crack-segmentation-network-based-on-proposed-unet-with-sam2-s-adapter-and-edge-aware-attentio_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SECrackSeg: A High-Accuracy Crack Segmentation Network Based on Proposed UNet with SAM2 S-Adapter and Edge-Aware Attention}}, year = {2026}, url = {https://4ort.xyz/entity/secrackseg-a-high-accuracy-crack-segmentation-network-based-on-proposed-unet-with-sam2-s-adapter-and-edge-aware-attentio}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SECrackSeg: A High-Accuracy Crack Segmentation Network Based on Proposed UNet with SAM2 S-Adapter and Edge-Aware Attention — https://4ort.xyz/entity/secrackseg-a-high-accuracy-crack-segmentation-network-based-on-proposed-unet-with-sam2-s-adapter-and-edge-aware-attentio (retrieved 2026-05-24)
