Mads Dyrmann

According to our database, Mads Dyrmann authored at least 12 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Hierarchical classification of insects with multitask learning and anomaly detection.

Kim Bjerge, Quentin Geissmann, Jamie Alison, Hjalte M. R. Mann, Toke Thomas Høye, Mads Dyrmann, Henrik Karstoft

Ecol. Informatics, November, 2023

2021

Robust Species Distribution Mapping of Crop Mixtures Using Color Images and Convolutional Neural Networks.

Søren Kelstrup Skovsen, Morten Stigaard Laursen, Rebekka Kjeldgaard Kristensen, Jim Rasmussen, Mads Dyrmann, Jørgen Eriksen, René Gislum, Rasmus Nyholm Jørgensen, Henrik Karstoft

Sensors, 2021

Weed Classification Using Explainable Multi-Resolution Slot Attention.

Sadaf Farkhani, Søren Kelstrup Skovsen, Mads Dyrmann, Rasmus Nyholm Jørgensen, Henrik Karstoft

Sensors, 2021

Camera Assisted Roadside Monitoring for Invasive Alien Plant Species Using Deep Learning.

Mads Dyrmann, Anders Krogh Mortensen, Lars Linneberg, Toke Thomas Høye, Kim Bjerge

Sensors, 2021

2020

Open Plant Phenotype Database of Common Weeds in Denmark.

Simon Leminen Madsen, Solvejg Kopp Mathiassen, Mads Dyrmann, Morten Stigaard Laursen, Laura-Carlota Paz, Rasmus Nyholm Jørgensen

Remote. Sens., 2020

2019

A Novel Spatio-Temporal FCN-LSTM Network for Recognizing Various Crop Types Using Multi-Temporal Radar Images.

Nima Teimouri, Mads Dyrmann, Rasmus Nyholm Jørgensen

Remote. Sens., 2019

The GrassClover Image Dataset for Semantic and Hierarchical Species Understanding in Agriculture.

Søren Skovsen, Mads Dyrmann, Anders Krogh Mortensen, Morten Stigaard Laursen, René Gislum, Jørgen Eriksen, Sadaf Farkhani, Henrik Karstoft, Rasmus N. Jørgensen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Weed Growth Stage Estimator Using Deep Convolutional Neural Networks.

Nima Teimouri, Mads Dyrmann, Per Rydahl Nielsen, Solvejg Kopp Mathiassen, Gayle J. Somerville, Rasmus Nyholm Jørgensen

Sensors, 2018

A Novel Locating System for Cereal Plant Stem Emerging Points' Detection Using a Convolutional Neural Network.

Hadi Karimi, Søren Skovsen, Mads Dyrmann, Rasmus Nyholm Jørgensen

Sensors, 2018

Estimation of plant species by classifying plants and leaves in combination.

Mads Dyrmann, Peter Christiansen, Henrik Skov Midtiby

J. Field Robotics, 2018

2017

Estimation of the Botanical Composition of Clover-Grass Leys from RGB Images Using Data Simulation and Fully Convolutional Neural Networks.

Søren Skovsen, Mads Dyrmann, Anders Krogh Mortensen, Kim Arild Steen, Ole Green, Jørgen Eriksen, René Gislum, Rasmus Nyholm Jørgensen, Henrik Karstoft

Sensors, 2017

A Public Image Database for Benchmark of Plant Seedling Classification Algorithms.

Thomas Mosgaard Giselsson, Rasmus Nyholm Jørgensen, Peter Kryger Jensen, Mads Dyrmann, Henrik Skov Midtiby

CoRR, 2017