Mads Dyrmann

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 12

Top Topics

Classification Algorithm

Convolutional Neural Networks

Top Venues

J. Field Robotics

Publications

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 (2023)
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) (2021)
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) (2021)
Sadaf Farkhani, Søren Kelstrup Skovsen, Mads Dyrmann, Rasmus Nyholm Jørgensen, Henrik Karstoft
Weed Classification Using Explainable Multi-Resolution Slot Attention. Sensors 21 (20) (2021)
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) (2020)
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)
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) (2019)
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) (2018)
Mads Dyrmann, Peter Christiansen, Henrik Skov Midtiby
Estimation of plant species by classifying plants and leaves in combination. J. Field Robotics 35 (2) (2018)
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) (2018)
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) (2017)
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 (2017)