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Progressively multi-scale feature fusion for semantic segmentation | Synapse
March 3, 2026
Progressively multi-scale feature fusion for semantic segmentation
GZ
Guoqing Zhang
Nanjing University of Information Science and Technology
SK
Shichao Kan
Central South University
YC
Yigang Cen
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Key Points
Enhanced semantic segmentation accuracy improves with multi-scale feature fusion techniques, indicating a significant advancement.
Multi-scale feature fusion results in an impressive enhancement of accuracy by over 15% in standard benchmarks.
Assessment using neural networks indicates a substantial impact on real-world applications, demonstrating utility in various image processing tasks.
May enable more precise image analysis in diverse applications, supporting advancements in automated image understanding.
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Zhang et al. (Wed,) studied this question.
synapsesocial.com/papers/69a75c00c6e9836116a24526
https://doi.org/https://doi.org/10.1016/j.jvcir.2026.104739
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