Kavita Kavita

Plant Science · 2021

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Plant Science — 35 citations into it
• Computer Vision and Pattern Recognition — 26 citations into it
• Artificial Intelligence — 20 citations into it
• Model Architectures — 14 citations into it

Whom Kavita Kavita trusts overall

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

1. Christian Szegedy
2. Kaiming He
3. Diederik P. Kingma
4. Yann LeCun
5. Karen Simonyan
6. Sergey Ioffe
7. Alex Krizhevsky
8. Geoffrey E. Hinton
9. J. G. Arnal Barbedo

Papers from Kavita Kavita's perspective

Ordered by how strongly the researchers Kavita Kavita 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Going deeper with convolutions
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Survey of Deep Convolutional Neural Networks Applied for Prediction of Plant Leaf Diseases (2021) — 363 citations