MoundCount: A detection-based approach for automatic counting of planting microsites on UAV images-Reference-Cited by-同舟云学术

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MoundCount: A detection-based approach for automatic counting of planting microsites on UAV images

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Author:

Zgaren Ahmed¹,Bouachir Wassim¹,Bouguila Nizar²,Hammoud Riad I.³

Affiliation:

1. University of Québec (TÉLUQ),Data Science Laboratory

2. Institute for Information Systems Engineering, Concordia University

3. PlusAI Inc.

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10208270/10208119/10208967.pdf?arnumber=10208967

Reference34 articles.

1. COMPUTER VISION SYSTEM FOR DETECTING ORCHARD TREES FROM UAV IMAGES

2. CASA-Crowd: A Context-Aware Scale Aggregation CNN-Based Crowd Counting Technique

3. Counting people using gradient boosted trees

4. Learning to count objects in images;lempitsky;Advances in neural information processing systems,2010

5. ImageNet classification with deep convolutional neural networks

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1. Machine and Deep Learning: Artificial Intelligence Application in Biotic and Abiotic Stress Management in Plants;Frontiers in Bioscience-Landmark;2024-01-17

2. Direct Seeding for Conifer Regeneration in the Pacific Northwest: A Past, Present, and Future of Operational Practices;Journal of Forestry;2023-12-11

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