CVPR 2022 Open Access Repository

Agriculture-Vision: Challenges & Opportunities for Computer Vision in Agriculture

Transfer Learning From Synthetic In-Vitro Soybean Pods Dataset for In-Situ Segmentation of On-Branch Soybean Pods: Si Yang,

Lihua Zheng,

Xieyuanli Chen,

Laura Zabawa,

Man Zhang,

Minjuan Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2022_CVPR, author = {Yang, Si and Zheng, Lihua and Chen, Xieyuanli and Zabawa, Laura and Zhang, Man and Wang, Minjuan}, title = {Transfer Learning From Synthetic In-Vitro Soybean Pods Dataset for In-Situ Segmentation of On-Branch Soybean Pods}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {1666-1675} }
Using Pure Pollen Species When Training a CNN To Segment Pollen Mixtures: Nana Yang,

Victor Joos,

Anne-Laure Jacquemart,

Christel Buyens,

Christophe De Vleeschouwer; [pdf]
[bibtex]
@InProceedings{Yang_2022_CVPR, author = {Yang, Nana and Joos, Victor and Jacquemart, Anne-Laure and Buyens, Christel and De Vleeschouwer, Christophe}, title = {Using Pure Pollen Species When Training a CNN To Segment Pollen Mixtures}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {1695-1704} }
3D Point Cloud Instance Segmentation of Lettuce Based on PartNet: Luhan Wang,

Lihua Zheng,

Minjuan Wang; [pdf]
[bibtex]
@InProceedings{Wang_2022_CVPR, author = {Wang, Luhan and Zheng, Lihua and Wang, Minjuan}, title = {3D Point Cloud Instance Segmentation of Lettuce Based on PartNet}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {1647-1655} }
Pseudo-Label Generation for Agricultural Robotics Applications: Thomas A. Ciarfuglia,

Ionut Marian Motoi,

Leonardo Saraceni,

Daniele Nardi; [pdf]
[bibtex]
@InProceedings{Ciarfuglia_2022_CVPR, author = {Ciarfuglia, Thomas A. and Motoi, Ionut Marian and Saraceni, Leonardo and Nardi, Daniele}, title = {Pseudo-Label Generation for Agricultural Robotics Applications}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {1686-1694} }
Optimizing Nitrogen Management With Deep Reinforcement Learning and Crop Simulations: Jing Wu,

Ran Tao,

Pan Zhao,

Nicolas F. Martin,

Naira Hovakimyan; [pdf] [arXiv]
[bibtex]
@InProceedings{Wu_2022_CVPR, author = {Wu, Jing and Tao, Ran and Zhao, Pan and Martin, Nicolas F. and Hovakimyan, Naira}, title = {Optimizing Nitrogen Management With Deep Reinforcement Learning and Crop Simulations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {1712-1720} }
AAFormer: A Multi-Modal Transformer Network for Aerial Agricultural Images: Yao Shen,

Lei Wang,

Yue Jin; [pdf]
[bibtex]
@InProceedings{Shen_2022_CVPR, author = {Shen, Yao and Wang, Lei and Jin, Yue}, title = {AAFormer: A Multi-Modal Transformer Network for Aerial Agricultural Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {1705-1711} }
Augmentation Invariance and Adaptive Sampling in Semantic Segmentation of Agricultural Aerial Images: Antonio Tavera,

Edoardo Arnaudo,

Carlo Masone,

Barbara Caputo; [pdf] [arXiv]
[bibtex]
@InProceedings{Tavera_2022_CVPR, author = {Tavera, Antonio and Arnaudo, Edoardo and Masone, Carlo and Caputo, Barbara}, title = {Augmentation Invariance and Adaptive Sampling in Semantic Segmentation of Agricultural Aerial Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {1656-1665} }
High-Resolution UAV Image Generation for Sorghum Panicle Detection: Enyu Cai,

Zhankun Luo,

Sriram Baireddy,

Jiaqi Guo,

Changye Yang,

Edward J. Delp; [pdf] [arXiv]
[bibtex]
@InProceedings{Cai_2022_CVPR, author = {Cai, Enyu and Luo, Zhankun and Baireddy, Sriram and Guo, Jiaqi and Yang, Changye and Delp, Edward J.}, title = {High-Resolution UAV Image Generation for Sorghum Panicle Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {1676-1685} }
Unsupervised Domain Adaptation and Super Resolution on Drone Images for Autonomous Dry Herbage Biomass Estimation: Paul Albert,

Mohamed Saadeldin,

Badri Narayanan,

Brian Mac Namee,

Deirdre Hennessy,

Noel E. O'Connor,

Kevin McGuinness; [pdf] [arXiv]
[bibtex]
@InProceedings{Albert_2022_CVPR, author = {Albert, Paul and Saadeldin, Mohamed and Narayanan, Badri and Mac Namee, Brian and Hennessy, Deirdre and O'Connor, Noel E. and McGuinness, Kevin}, title = {Unsupervised Domain Adaptation and Super Resolution on Drone Images for Autonomous Dry Herbage Biomass Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {1636-1646} }