Ground scaffolding abstract construction concepts for automatic compliance checking based on reasoning segmentation
X Luo, M Qin, Z Gao, H Yan, X Yang - Expert Systems with Applications, 2025 - Elsevier
Manual scaffolding inspections are time-consuming and subjective, often overlooking
compliance issues that contribute to collapses. This has sparked interest in automatic …
compliance issues that contribute to collapses. This has sparked interest in automatic …
A terrain segmentation network for navigable areas with global strip reliability evaluation and dynamic fusion
Accurate segmentation of safe navigable areas is crucial for scene parsing in autonomous
driving systems. However, existing segmentation methods often fail to fully leverage the …
driving systems. However, existing segmentation methods often fail to fully leverage the …
Topology-joint Curvilinear Segmentation Network using Confidence-based Bezier Topological Representation
J Li, Y Huang, X Ye, H Yang - Engineering Applications of Artificial …, 2025 - Elsevier
Segmenting continuous curve structures is crucial in medical lesion analysis, crack
detection, and remote sensing image processing. Current semantic segmentation methods …
detection, and remote sensing image processing. Current semantic segmentation methods …
DynamicKD: An effective knowledge distillation via dynamic entropy correction-based distillation for gap optimizing
The knowledge distillation uses a high-performance teacher network to guide the student
network. However, the performance gap between the teacher and student networks can …
network. However, the performance gap between the teacher and student networks can …
[HTML][HTML] NPSFF-Net: Enhanced Building Segmentation in Remote Sensing Images via Novel Pseudo-Siamese Feature Fusion
Building segmentation has extensive research value and application prospects in high-
resolution remote sensing image (HRSI) processing. However, complex architectural …
resolution remote sensing image (HRSI) processing. However, complex architectural …
PAR-mono: monocular video depth estimation network based on channel separation and dynamic attention
H Li, Z Zhang, Z Hao, B Xu, W Wang, J Sun - Multimedia Systems, 2025 - Springer
The current video depth estimation methodology is hindered by two significant limitations:
inter-frame depth discontinuity and slow model convergence. To address these issues, we …
inter-frame depth discontinuity and slow model convergence. To address these issues, we …
Nested attention network based on category contexts learning for semantic segmentation
T Li, M Liu, D Wei - Complex & Intelligent Systems, 2024 - Springer
The attention mechanism is widely used in the field of semantic segmentation, due to the fact
that it can be used to obtain effective long-distance dependencies by assigning different …
that it can be used to obtain effective long-distance dependencies by assigning different …