Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Mishra, Aakansha"'
Zero-shot learning (ZSL) is a promising approach to generalizing a model to categories unseen during training by leveraging class attributes, but challenges remain. Recently, methods using generative models to combat bias towards classes seen during
Externí odkaz:
http://arxiv.org/abs/2312.01167
The use of complex attention modules has improved the performance of the Visual Question Answering (VQA) task. This work aims to learn an improved multi-modal representation through dense interaction of visual and textual modalities. The proposed mod
Externí odkaz:
http://arxiv.org/abs/2302.14777
This paper proposes CQ-VQA, a novel 2-level hierarchical but end-to-end model to solve the task of visual question answering (VQA). The first level of CQ-VQA, referred to as question categorizer (QC), classifies questions to reduce the potential answ
Externí odkaz:
http://arxiv.org/abs/2002.06800
We present a probabilistic model for Sketch-Based Image Retrieval (SBIR) where, at retrieval time, we are given sketches from novel classes, that were not present at training time. Existing SBIR methods, most of which rely on learning class-wise corr
Externí odkaz:
http://arxiv.org/abs/1904.08542
Publikováno v:
In Applied Acoustics 1 January 2022 185
Publikováno v:
In Applied Acoustics November 2021 182
Publikováno v:
In Neurocomputing 14 October 2021 460:409-423
Publikováno v:
2015 IEEE 10th Conference on Industrial Electronics & Applications (ICIEA); 2015, p171-176, 6p
Autor:
Verma, Nishchal K., Mishra, Aakansha
Publikováno v:
2014 IEEE Applied Imagery Pattern Recognition Workshop (AIPR); 2014, p1-7, 7p