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Mads Dyrmann
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2020 – today
- 2023
- [j10]Kim Bjerge, Quentin Geissmann, Jamie Alison, Hjalte M. R. Mann, Toke Thomas Høye, Mads Dyrmann, Henrik Karstoft:
Hierarchical classification of insects with multitask learning and anomaly detection. Ecol. Informatics 77: 102278 (2023) - 2021
- [j9]Søren Kelstrup Skovsen, Morten Stigaard Laursen, Rebekka Kjeldgaard Kristensen, Jim Rasmussen, Mads Dyrmann, Jørgen Eriksen, René Gislum, Rasmus Nyholm Jørgensen, Henrik Karstoft:
Robust Species Distribution Mapping of Crop Mixtures Using Color Images and Convolutional Neural Networks. Sensors 21(1): 175 (2021) - [j8]Mads Dyrmann, Anders Krogh Mortensen, Lars Linneberg, Toke Thomas Høye, Kim Bjerge:
Camera Assisted Roadside Monitoring for Invasive Alien Plant Species Using Deep Learning. Sensors 21(18): 6126 (2021) - [j7]Sadaf Farkhani, Søren Kelstrup Skovsen, Mads Dyrmann, Rasmus Nyholm Jørgensen, Henrik Karstoft:
Weed Classification Using Explainable Multi-Resolution Slot Attention. Sensors 21(20): 6705 (2021) - 2020
- [j6]Simon Leminen Madsen, Solvejg Kopp Mathiassen, Mads Dyrmann, Morten Stigaard Laursen, Laura-Carlota Paz, Rasmus Nyholm Jørgensen:
Open Plant Phenotype Database of Common Weeds in Denmark. Remote. Sens. 12(8): 1246 (2020)
2010 – 2019
- 2019
- [j5]Nima Teimouri, Mads Dyrmann, Rasmus Nyholm Jørgensen:
A Novel Spatio-Temporal FCN-LSTM Network for Recognizing Various Crop Types Using Multi-Temporal Radar Images. Remote. Sens. 11(8): 990 (2019) - [c1]Søren Skovsen, Mads Dyrmann, Anders Krogh Mortensen, Morten Stigaard Laursen, René Gislum, Jørgen Eriksen, Sadaf Farkhani, Henrik Karstoft, Rasmus N. Jørgensen:
The GrassClover Image Dataset for Semantic and Hierarchical Species Understanding in Agriculture. CVPR Workshops 2019: 2676-2684 - 2018
- [j4]Mads Dyrmann, Peter Christiansen, Henrik Skov Midtiby:
Estimation of plant species by classifying plants and leaves in combination. J. Field Robotics 35(2): 202-212 (2018) - [j3]Nima Teimouri, Mads Dyrmann, Per Rydahl Nielsen, Solvejg Kopp Mathiassen, Gayle J. Somerville, Rasmus Nyholm Jørgensen:
Weed Growth Stage Estimator Using Deep Convolutional Neural Networks. Sensors 18(5): 1580 (2018) - [j2]Hadi Karimi, Søren Skovsen, Mads Dyrmann, Rasmus Nyholm Jørgensen:
A Novel Locating System for Cereal Plant Stem Emerging Points' Detection Using a Convolutional Neural Network. Sensors 18(5): 1611 (2018) - 2017
- [j1]Søren Skovsen, Mads Dyrmann, Anders Krogh Mortensen, Kim Arild Steen, Ole Green, Jørgen Eriksen, René Gislum, Rasmus Nyholm Jørgensen, Henrik Karstoft:
Estimation of the Botanical Composition of Clover-Grass Leys from RGB Images Using Data Simulation and Fully Convolutional Neural Networks. Sensors 17(12): 2930 (2017) - [i1]Thomas Mosgaard Giselsson, Rasmus Nyholm Jørgensen, Peter Kryger Jensen, Mads Dyrmann, Henrik Skov Midtiby:
A Public Image Database for Benchmark of Plant Seedling Classification Algorithms. CoRR abs/1711.05458 (2017)
Coauthor Index
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