Matt Sharpe

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Matt Sharpe trusts overall

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

  1. Ben. G. Weinstein

Papers from Matt Sharpe's perspective

Ordered by how strongly the researchers Matt Sharpe 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. SGDR: Stochastic Gradient Descent with Warm Restarts
  3. The Caltech-UCSD Birds-200-2011 Dataset
  4. Care of aged doctors
  5. Novel Dataset for Fine-Grained Image Categorization : Stanford Dogs
  6. Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection
  7. ImageNet classification with deep convolutional neural networks
  8. The iNaturalist Species Classification and Detection Dataset
  9. The Photographic Determination of Group Size, Composition, and Stability of Coastal Porpoises (Tursiops truncatus)
  10. Computer-assisted recognition of dolphin individuals using dorsal fin pigmentations

Their papers