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Deep Convolutional Neural Networks Based Framework for Estimation of Stomata Density and Structure from Microscopic Images.

, , , , , , and . ECCV Workshops (6), volume 11134 of Lecture Notes in Computer Science, page 412-423. Springer, (2018)

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Deep Convolutional Neural Networks Based Framework for Estimation of Stomata Density and Structure from Microscopic Images., , , , , , and . ECCV Workshops (6), volume 11134 of Lecture Notes in Computer Science, page 412-423. Springer, (2018)A Hierarchical Framework for Leaf Instance Segmentation: Application to Plant Phenotyping., , , and . ICPR, page 10173-10179. IEEE, (2020)Hierarchical Multi-task Learning via Task Affinity Groupings., , , and . ICIP, page 3289-3293. IEEE, (2023)Unsupervised Learning of Affinity for Image Segmentation: An Inpainting based Approach., , , , and . IVCNZ, page 1-6. IEEE, (2021)AnoLeaf: Unsupervised Leaf Disease Segmentation via Structurally Robust Generative Inpainting., , , , and . WACV, page 6404-6413. IEEE, (2023)Phenotyping of xylem vessels for drought stress analysis in rice., , , , and . MVA, page 428-431. IEEE, (2017)Extraction of Phenotypic Traits for Drought Stress Study Using Hyperspectral Images., , , , , and . PReMI, volume 10597 of Lecture Notes in Computer Science, page 608-614. Springer, (2017)Use of leaf colour for drought stress analysis in rice., , and . NCVPRIPG, page 1-4. IEEE, (2015)Marker-Free Computer Vision for Human Motion Analysis: A Review., , , and . ICME Workshops, page 212-217. IEEE, (2023)Automatic Quantification of Stomata for High-Throughput Plant Phenotyping., , , , , and . ICPR, page 3904-3910. IEEE Computer Society, (2018)