Select, Substitute, Search: A New Benchmark for Knowledge-Augmented Visual Question Answering
Author:
Affiliation:
1. Indian Institute of Technology Bombay, Mumbai, India
2. IBM Research, Bengaluru, India
Funder
IBM
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3404835.3463259
Reference54 articles.
1. VQA: Visual Question Answering
2. MUTAN: Multimodal Tucker Fusion for Visual Question Answering
3. BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection
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