3 papers
cs.CV2023
Unlocking Fine-Grained Details with Wavelet-based High-Frequency Enhancement in Transformers
Reza Azad, Amirhossein Kazerouni, Alaa Sulaiman +4
Medical image segmentation is a critical task that plays a vital role in diagnosis, treatment planning, and disease monitoring. Accurate segmentation of anatomical structures and a…
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…