5 papers · 1 filter
Neural Architecture Distributions: A New Paradigm for Stochastic Segmentation
Conghui Li, Junhao Huang, Chern Hong Lim +2
Stochastic segmentation seeks to represent multiple plausible masks for a single image, which is essential in safety- and quality-critical applications such as medical imaging or b…
Low-Cost Stereo Vision for Robust 3D Positioning of Thin Radiata Pine Branches in Autonomous Drone Pruning
Yida Lin, Bing Xue, Mengjie Zhang +2
Manual pruning of radiata pine, a species of major economic importance to New Zealand forestry, is hazardous, labour-intensive, and increasingly constrained by workforce shortages.…
UE5-Forest: A Photorealistic Synthetic Stereo Dataset for UAV Forestry Depth Estimation
Yida Lin, Bing Xue, Mengjie Zhang +2
Dense ground-truth disparity maps are practically unobtainable in forestry environments, where thin overlapping branches and complex canopy geometry defeat conventional depth senso…
Towards Gold-Standard Depth Estimation for Tree Branches in UAV Forestry: Benchmarking Deep Stereo Matching Methods
Yida Lin, Bing Xue, Mengjie Zhang +2
Autonomous UAV forestry operations require robust depth estimation with strong cross-domain generalization, yet existing evaluations focus on urban and indoor scenarios, leaving a…
Generalization Evaluation of Deep Stereo Matching Methods for UAV-Based Forestry Applications
Yida Lin, Bing Xue, Mengjie Zhang +2
Autonomous UAV forestry operations require robust depth estimation methods with strong cross-domain generalization. However, existing evaluations focus on urban and indoor scenario…