ShapeCodes: Self-Supervised Feature Learning by Lifting Views to Viewgrids

ECCV 2018 Dinesh JayaramanRuohan GaoKristen Grauman

We introduce an unsupervised feature learning approach that embeds 3D shape information into a single-view image representation. The main idea is a self-supervised training objective that, given only a single 2D image, requires all unseen views of the object to be predictable from learned features... (read more)

PDF Abstract ECCV 2018 PDF ECCV 2018 Abstract

Code


No code implementations yet. Submit your code now

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