Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
June 1, 2014

Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks

View Full Paper
Ask AI
Bookmark
Share

Authors

MOMaxime OquabCentre National de la Recherche ScientifiqueLBLéon BottouMicrosoft Research New York City (United States)ILIvan LaptevMohamed bin Zayed University of Artificial Intelligence

Discussion

Loading...

Member takes

Implication

Key Points

Key points are not available for this paper at this time.

Cite This Study

Oquab et al. (2014) studied this question.

synapsesocial.com/papers/69d845bc33ca018b39ae3802https://doi.org/10.1109/cvpr.2014.222
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Histograms of Sparse Codes for Object Detection2013 · 242 citations
  2. 2Gradient-based learning applied to document recognition1998 · 59,844 citations
  3. 3Unbiased look at dataset bias2011 · 2,472 citations
  4. 4Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories2006 · 7,959 citations
  5. 5DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition2013 · 3,510 citations