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Open access Oct 2026

Complementary-Stream Sum Fusion for the Semantic Segmentation of the Borobudur Temple Bas Relief Panels Using RGBD and Edge-Depth

Semantic segmentation of the Borobudur temple bas-relief panels is difficult due to stone weathering, class imbalance, complex iconography, and limited annotated data. In this paper, we propose a dual-stream fusion framework, which includes an RGBD branch (RGB+depth, 4-channel) and an Edge-Depth branch (softedge+depth,...

Lukman Awaludin, Wahyono, N. Wirasanti et al. · 0 citations
Aug 2026

Study Comparison of Semantic Segmentation for RGB-D Borobudur Temple Bas-Relief Images

Cultural heritage preservation increasingly relies on AI-driven semantic segmentation to document and analyze intricately carved stone reliefs. This paper is the first to do a systematic benchmarking study of five deep CNN architectures: DeepLabV3+, PSPNet, SegNet, DenseUNet, and U-Net. We changed these architectures s...

Lukman Awaludin, A. Harjoko, N. Wirasanti et al. · 0 citations

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