4 citations · 4 across the 1 of their papers we have counts for
3 papers
IQ-VQA: Intelligent Visual Question Answering
Vatsal Goel, Mohit Chandak, Ashish Anand +1
Even though there has been tremendous progress in the field of Visual Question Answering, models today still tend to be inconsistent and brittle. To this end, we propose a model-in…
CQ-VQA: Visual Question Answering on Categorized Questions
Aakansha Mishra, Ashish Anand, Prithwijit Guha
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 questi…
Collective Learning From Diverse Datasets for Entity Typing in the Wild
Abhishek Abhishek, Amar Prakash Azad, Balaji Ganesan +2
Entity typing (ET) is the problem of assigning labels to given entity mentions in a sentence. Existing works for ET require knowledge about the domain and target label set for a gi…