Amparo Navea

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Amparo Navea trusts

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

  1. François Chollet (in Computer Vision and Pattern Recognition)
  2. Yann LeCun (in Statistical Learning Theory)

Papers from Amparo Navea's perspective

Ordered by how strongly the researchers Amparo Navea 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. Going deeper with convolutions
  3. ImageNet Large Scale Visual Recognition Challenge
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Dropout: a simple way to prevent neural networks from overfitting
  6. Rethinking the Inception Architecture for Computer Vision
  7. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
  8. Xception: Deep Learning with Depthwise Separable Convolutions
  9. ImageNet classification with deep convolutional neural networks
  10. Gradient-based learning applied to document recognition

Their papers