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Impact of loss functions on semantic segmentation in far-field monitoring

https://doi.org/10.1111/mice.12832
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Outgoing claims: the papers this work cites, builds on, or argues with.

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V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
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Libra R-CNN: Towards Balanced Learning for Object Detection
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Foreground-Background Imbalance Problem in Deep Object Detectors: A Review
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What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A Review of Computer Vision Applications for Construction Goals Management: Current Status and Future Directions
inferred← citeshttps://doi.org/10.1007/978-3-031-35399-4_15openalex-snapshot
Context-Aware PPE Compliance Check in Far-Field Monitoring
inferred← citeshttps://doi.org/10.1007/s13296-026-01101-7openalex-snapshot
Structure-Aware Semantic Segmentation and Automated Geometric Analysis Framework for Steel Plate Girder Point Clouds
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Context-aware safety assessment system for far-field monitoring
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Point cloud registration considering safety nets during scaffold installation using sensor fusion and deep learning
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Image hashing-based shallow object tracker for construction worker monitoring in scaffolding scenes
inferred← citeshttps://doi.org/10.1016/j.autcon.2025.106099openalex-snapshot
Deep learning-based automated method for enhancing excavator activity recognition in far-field construction site surveillance videos
inferred← citeshttps://doi.org/10.1016/j.autcon.2026.106772openalex-snapshot
Domain-adaptive instance segmentation for far-field object monitoring using SAM-based weak supervision and noisy student self-training
inferred← citeshttps://doi.org/10.1016/j.autcon.2026.106929openalex-snapshot
Tiny object detection using Distance-guided, Signed, and Densified Learning (DSDL) for construction site safety monitoring
inferred← citeshttps://doi.org/10.1016/j.autcon.2026.107045openalex-snapshot
UAV LiDAR bridge point cloud dataset and hybrid deep learning framework for robust semantic segmentation
inferred← citeshttps://doi.org/10.1061/9780784485248.060openalex-snapshot
Hashing-Based Object Tracking for Construction Site Safety Monitoring across Different Domains
inferred← citeshttps://doi.org/10.1061/9780784485262.007openalex-snapshot
Segmentation and Tracking of Moving Objects on Dynamic Construction Sites
inferred← citeshttps://doi.org/10.1109/tgrs.2024.3516501openalex-snapshot
Comprehensive Attribute Difference Attention Network for Remote Sensing Image Semantic Understanding
inferred← citeshttps://doi.org/10.1111/mice.13153openalex-snapshot
Enhancing point cloud semantic segmentation in the data‐scarce domain of industrial plants through synthetic data
inferred← citeshttps://doi.org/10.1111/mice.13343openalex-snapshot
A machine vision‐based intelligent segmentation method for dam underwater cracks using swarm optimization algorithm and deep learning
inferred← citeshttps://doi.org/10.1111/mice.13396openalex-snapshot
Uncertainty‐guided U‐Net for soil boundary segmentation using Monte Carlo dropout
inferred← citeshttps://doi.org/10.1111/mice.13422openalex-snapshot
A structure‐oriented loss function for automated semantic segmentation of bridge point clouds
inferred← citeshttps://doi.org/10.1111/mice.13443openalex-snapshot
Pixel-wise anomaly detection on road by encoder–decoder semantic segmentation framework with driving vigilance
inferred← citeshttps://doi.org/10.1142/s0129065724500369openalex-snapshot
An Optimization Numerical Spiking Neural Membrane System with Adaptive Multi-Mutation Operators for Brain Tumor Segmentation
inferred← citeshttps://doi.org/10.1142/s0129065724500576openalex-snapshot
Semi-Supervised Semantic Image Segmentation by Deep Diffusion Models and Generative Adversarial Networks
inferred← citeshttps://doi.org/10.3390/electronics14112244openalex-snapshot
Lightweight Semantic Segmentation Network with Multi-Level Feature Fusion and Dual Attention Collaboration
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