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Semi-Supervised Object Detection for Sorghum Panicles in ...
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由 E Cai 著作2023 — In this paper, we present an approach to reduce the amount of training data for sorghum panicle detection via semi-supervised learning.
Semi-Supervised Object Detection for Sorghum Panicles in ...
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2024年9月13日 — In this paper, we present an approach to reduce the amount of training data for sorghum panicle detection via semi-supervised learning. Results ...
Semi-Supervised Object Detection for Sorghum Panicles in UAV ...
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PDF | On Jul 16, 2023, Enyu Cai and others published Semi-Supervised Object Detection for Sorghum Panicles in UAV Imagery | Find, read and cite all the research
Semi-Supervised Object Detection for Sorghum Panicles in ...
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Results show that the approach to reduce the amount of training data for sorghum panicle detection via semi-supervised learning can achieve similar ...
Semi-Supervised Object Detection for Sorghum Panicles in ...
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由 E Cai 著作2023 — In this paper, we present a method to train a sorghum panicle detection deep neural net- work on RGB UAV images with a small amount of training data using semi- ...
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semi-supervised object detection for sorghum panicles in uav imagery
IEEE IGARSS 2023
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SEMI-SUPERVISED OBJECT DETECTION FOR SORGHUM PANICLES IN UAV IMAGERY ; Enyu Cai, Jiaqi Guo, Changye Yang, Edward Delp, Purdue University, United States ; Session:.
Semi-Supervised Object Detection for Sorghum Panicles in UAV ...
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In this paper, we present an approach to reduce the amount of training data for sorghum panicle detection via semi-supervised learning. Results show we can ...
Related papers: Semi-Supervised Object Detection for Sorghum ...
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Our method can generate synthetic high-resolution UAV RGB images with panicle labels by using image-to-image translation GANs with a limited ground truth ...
Enyu Cai
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High-resolution uav image generation for sorghum panicle detection. E Cai ... Semi-Supervised Object Detection for Sorghum Panicles in UAV Imagery. E Cai ...
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Changye Yang
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2024年11月11日 — Enyu Cai, Jiaqi Guo, Changye Yang, Edward J. Delp: Semi-Supervised Object Detection for Sorghum Panicles in UAV Imagery.
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