Unsupervised Feature Learning for Dense Correspondences across Scenes

1 code implementation • 4 Jan 2015 • Chao Zhang, Chunhua Shen, Tingzhi Shen

We experimentally demonstrate that the learned features, together with our matching model, outperforms state-of-the-art methods such as the SIFT flow, coherency sensitive hashing and the recent deformable spatial pyramid matching methods both in terms of accuracy and computation efficiency.

Dictionary Learning