2 papers
eess.IV2021
Deep Hashing with Hash Center Update for Efficient Image Retrieval
Abin Jose, Daniel Filbert, Christian Rohlfing +1
In this paper, we propose an approach for learning binary hash codes for image retrieval. Canonical Correlation Analysis (CCA) is used to design two loss functions for training a n…
eess.IV2020
Optimized Feature Space Learning for Generating Efficient Binary Codes for Image Retrieval
Abin Jose, Erik Stefan Ottlik, Christian Rohlfing +1
In this paper we propose an approach for learning low dimensional optimized feature space with minimum intra-class variance and maximum inter-class variance. We address the problem…