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Found 3 papers, 1 papers with code
Automatic counting of planting microsites via local visual detection and global count estimation
One of the main problems when planning planting operations is the difficulty in estimating the number of mounds present on a planting block, as their number may greatly vary depending on site characteristics.
Automatic counting of mounds on UAV images: combining instance segmentation and patch-level correction
Counting the number of mounds is generally conducted through manual field surveys by forestry workers, which is costly and prone to errors, especially for large areas.
Coarse-to-Fine Object Tracking Using Deep Features and Correlation Filters
Motivated by this observation, and by the fact that discriminative correlation filters(DCFs) may provide a complimentary low-level information, we presenta novel tracking algorithm taking advantage of both approaches.
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