DGM-Net reaches 82.3% mIoU on Cityscapes and 45.24% on ADE20K using directional geometric guidance inside a linear-complexity Mamba backbone, without heavy pretraining or large models.
Dual attention network for scene seg- mentation
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UNVERDICTED 2representative citing papers
HQF-Net reports mIoU gains on three remote-sensing benchmarks by adding quantum circuits to skip connections and a mixture-of-experts bottleneck inside a classical U-Net fused with a DINOv3 backbone.
citing papers explorer
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Breaking the Resource Wall: Geometry-Guided Sequence Modeling for Efficient Semantic Segmentation
DGM-Net reaches 82.3% mIoU on Cityscapes and 45.24% on ADE20K using directional geometric guidance inside a linear-complexity Mamba backbone, without heavy pretraining or large models.
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HQF-Net: A Hybrid Quantum-Classical Multi-Scale Fusion Network for Remote Sensing Image Segmentation
HQF-Net reports mIoU gains on three remote-sensing benchmarks by adding quantum circuits to skip connections and a mixture-of-experts bottleneck inside a classical U-Net fused with a DINOv3 backbone.