Johan Potgieter

Plant Science · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 235 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Plant Science — 65 citations into it
• Computer Vision and Pattern Recognition — 41 citations into it
• Ecology — 26 citations into it
• Media Technology — 22 citations into it
• Analytical Chemistry — 21 citations into it
• Artificial Intelligence — 17 citations into it
• Atmospheric Science — 11 citations into it
• Model Architectures — 11 citations into it

Whom Johan Potgieter trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Ross B. Girshick
4. Kaiming He
5. Joseph Redmon
6. Karen Simonyan
7. Yann LeCun
8. Ilya Sutskever
9. Shaoqing Ren
10. Yoshua Bengio

Papers from Johan Potgieter's perspective

Ordered by how strongly the researchers Johan Potgieter trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Going deeper with convolutions
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Automation in Agriculture by Machine and Deep Learning Techniques: A Review of Recent Developments (2021) — 352 citations
• Plant Disease Detection and Classification by Deep Learning (2019) — 720 citations