5 citations · 9 across the 5 of their papers we have counts for
5 papers
Overcoming Language Priors for Visual Question Answering Based on Knowledge Distillation
Daowan Peng, Wei Wei
Previous studies have pointed out that visual question answering (VQA) models are prone to relying on language priors for answer predictions. In this context, predictions often dep…
Detection-based Intermediate Supervision for Visual Question Answering
Yuhang Liu, Daowan Peng, Wei Wei +3
Recently, neural module networks (NMNs) have yielded ongoing success in answering compositional visual questions, especially those involving multi-hop visual and logical reasoning.…
An Empirical Study on the Language Modal in Visual Question Answering
Daowan Peng, Wei Wei, Xian-Ling Mao +2
Generalization beyond in-domain experience to out-of-distribution data is of paramount significance in the AI domain. Of late, state-of-the-art Visual Question Answering (VQA) mode…
Declaration-based Prompt Tuning for Visual Question Answering
Yuhang Liu, Wei Wei, Daowan Peng +1
In recent years, the pre-training-then-fine-tuning paradigm has yielded immense success on a wide spectrum of cross-modal tasks, such as visual question answering (VQA), in which a…
Ball k-means
Shuyin Xia, Daowan Peng, Deyu Meng +4
This paper presents a novel accelerated exact k-means algorithm called the Ball k-means algorithm, which uses a ball to describe a cluster, focusing on reducing the point-centroid…