Sorry, you need to enable JavaScript to visit this website.

MABNet: Master Assistant Buddy Network with Hybrid Learning for Image Retrieval

Citation Author(s):
Submitted by:
Rohit Agarwal
Last updated:
29 May 2023 - 1:45pm
Document Type:
Research Manuscript
Document Year:
2023
Event:
Presenters:
Rohit Agarwal
 

Image retrieval has garnered a growing interest in recent times. The current approaches are either supervised or self-supervised. These methods do not exploit the benefits of hybrid learning using both supervision and self-supervision. We present a novel Master Assistant Buddy Network (MABNet) for image retrieval which incorporates both the learning mechanisms. MABNet consists of master and assistant block, both learning independently through supervision and collectively via self-supervision. The master guides the assistant by providing its knowledge base as a reference for self-supervision and the assistant reports its knowledge back to the master by weight transfer. We perform extensive experiments on the public datasets with and without post-processing.

up
0 users have voted: