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20152022
most citedExplicit Knowledge-based Reasoning for Visual Question Answering

96 citations · 464 across the 34 of their papers we have counts for

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Showing 2020Show all

20 papers · 1 filter

cs.CV2020★ 2 cited

Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps

Qi Zhu, Chenyu Gao, Peng Wang +1

Texts appearing in daily scenes that can be recognized by OCR (Optical Character Recognition) tools contain significant information, such as street name, product brand and prices.…

cs.CV2020

Confidence-aware Non-repetitive Multimodal Transformers for TextCaps

Zhaokai Wang, Renda Bao, Qi Wu +1

When describing an image, reading text in the visual scene is crucial to understand the key information. Recent work explores the TextCaps task, i.e. image captioning with reading…

cs.CV2020★ 40 cited

A Recurrent Vision-and-Language BERT for Navigation

Yicong Hong, Qi Wu, Yuankai Qi +2

Accuracy of many visiolinguistic tasks has benefited significantly from the application of vision-and-language(V&L) BERT. However, its application for the task of vision-and-langua…

cs.CV2020★ 20 cited

Language and Visual Entity Relationship Graph for Agent Navigation

Yicong Hong, Cristian Rodriguez-Opazo, Yuankai Qi +2

Vision-and-Language Navigation (VLN) requires an agent to navigate in a real-world environment following natural language instructions. From both the textual and visual perspective…

cs.CV2020★ 7 cited

CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation

Jing Yu, Yuan Chai, Yujing Wang +2

Scene graphs are semantic abstraction of images that encourage visual understanding and reasoning. However, the performance of Scene Graph Generation (SGG) is unsatisfactory when f…

cs.CV2020★ 2 cited

Data-driven Meta-set Based Fine-Grained Visual Classification

Chuanyi Zhang, Yazhou Yao, Xiangbo Shu +3

Constructing fine-grained image datasets typically requires domain-specific expert knowledge, which is not always available for crowd-sourcing platform annotators. Accordingly, lea…