Group Invariant Deep Representations for Image Instance Retrieval

no code implementations • 9 Jan 2016 • Olivier Morère, Antoine Veillard, Jie Lin, Julie Petta, Vijay Chandrasekhar, Tomaso Poggio

Based on a thorough empirical evaluation using several publicly available datasets, we show that our method is able to significantly and consistently improve retrieval results every time a new type of invariance is incorporated.

Dimensionality Reduction Image Classification +3

Tiny Descriptors for Image Retrieval with Unsupervised Triplet Hashing

no code implementations • 10 Nov 2015 • Jie Lin, Olivier Morère, Julie Petta, Vijay Chandrasekhar, Antoine Veillard

Then, triplet networks, a rank learning scheme based on weight sharing nets is used to fine-tune the binary embedding functions to retain as much as possible of the useful metric properties of the original space.

Image Classification Image Retrieval +1