Arpit Jain

Plant Science · with Chowdary · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Arpit Jain trusts overall

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

  1. David P. Hughes
  2. Alex Krizhevsky
  3. Kentaro Kuwata
  4. Sharada Prasanna Mohanty
  5. Samuel Asante Gyamerah
  6. Marcel Salathé
  7. L. Deiss
  8. Christian Szegedy
  9. Alessandro dos Santos Ferreira

Papers from Arpit Jain's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Going deeper with convolutions
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Histograms of oriented gradients for human detection
  5. An open access repository of images on plant health to enable the development of mobile disease diagnostics through machine learning and crowdsourcing (arXiv.org)
  6. Using Deep Learning for Image-Based Plant Disease Detection
  7. Distinctive Image Features from Scale-Invariant Keypoints
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers