Toby Perrett

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 401 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Toby Perrett trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Karen Simonyan
  4. Alex Krizhevsky
  5. Andrew Zisserman
  6. Geoffrey E. Hinton
  7. Christian Szegedy
  8. Yoshua Bengio
  9. Shaoqing Ren
  10. Yann LeCun

Who trusts Toby Perrett overall

  1. Antonino Furnari

Papers from Toby Perrett's perspective

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

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

Their papers