Mar 12, 2021 · Our method consists of three components by obtaining high-resolution representation, defining guided anchor, and forming focal loss to boost the ...
To address the main challenges of diverse building scale and appearance, this letter proposes an automatic building instance extraction method based on an ...
Our method consists of three components by obtaining high-resolution representation, defining guided anchor, and forming focal loss to boost the adaptability of ...
We introduce a Hybrid Task Cascade (HTC)-based building extraction method, which is more tailored to the characteristics of buildings.
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The experimental results also validate its effectiveness. Our approach achieves better detection accuracy compared to mainstream instance segmentation methods ...
This paper proposes a region-based, two-stage segmentation model assembled with components of adaptive feature extraction, guided anchoring and iterative ...
This work proposes a new framework, Hybrid Task Cascade (HTC), which differs in two important aspects: (1) instead of performing cascaded refinement on ...
... building instance extraction method based on an improved hybrid task cascade (HTC). Our method consists of three components by obtaining high-resolution ...
Feature extraction and segmentation of pavement distress using an ...
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An improved Hybrid Task Cascade (HTC) instance segmentation model was proposed to segment pavement surface distress intelligently and accurately.
Jul 5, 2024 · We proposed an improved instance segmentation model that enhances classification accuracy by incorporating a Mixed Local Channel Attention (MLCA) mechanism in ...