José Manuel Mossi

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 José Manuel Mossi trusts overall

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

  1. Yann LeCun

Papers from José Manuel Mossi's perspective

Ordered by how strongly the researchers José Manuel Mossi 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. ImageNet classification with deep convolutional neural networks
  9. Gradient-based learning applied to document recognition
  10. Xception: Deep Learning with Depthwise Separable Convolutions

Their papers