Table of results for STL-10 dataset

This is a table documenting some of the best results some paper obtained in STL-10 dataset.

1. Pooling-Invariant Image Feature Learning (ARXIV 2012)
   Cited 0 times.  58.28%
   Additional info: 1600 codes, learnt using 2x PDL
2. Deep Learning of Invariant Features via Simulated Fixations in Video (2012)
   Cited 0 times. 56.5%Additional info: Trained also with video (unrelated to STL-10) obtained 61%