Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning

CVPR 2017 Weifeng GeYizhou Yu

Deep neural networks require a large amount of labeled training data during supervised learning. However, collecting and labeling so much data might be infeasible in many cases... (read more)

PDF Abstract CVPR 2017 PDF CVPR 2017 Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet