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Found 3 papers, 3 papers with code
Instance Segmentation for Autonomous Log Grasping in Forestry Operations
Using our dataset, we then compare three neural network architectures on the task of individual logs detection and segmentation; two region-based methods and one attention-based method.
Training Deep Learning Algorithms on Synthetic Forest Images for Tree Detection
In this work, we propose to use simulated forest environments to automatically generate 43 k realistic synthetic images with pixel-level annotations, and use it to train deep learning algorithms for tree detection.
Tree Detection and Diameter Estimation Based on Deep Learning
Tree perception is an essential building block toward autonomous forestry operations.
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