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Data Augmentation for Visual Question Answering
Proceedings of the 10th International Conference on Natural Language Generation, 2017Data augmentation is widely used to train deep neural networks for image classification tasks. Simply flipping images can help learning tremendously by increasing the number of training images by a factor of two. However, little work has been done studying data augmentation in natural language processing.
Kushal Kafle +2 more
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Semantically Guided Visual Question Answering
2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 2018We present a novel approach to enhance the challenging task of Visual Question Answering (VQA) by incorporating and enriching semantic knowledge in a VQA model. We first apply Multiple Instance Learning (MIL) to extract a richer visual representation addressing concepts beyond objects such as actions and colors.
Handong Zhao +3 more
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Affective Visual Question Answering Network
2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), 2018Visual Question Answering (VQA) has recently attracted considerable attention from researchers in the trending field of deep learning. The need to improve VQA models by focusing on local regions of images, has resulted in the development of various attention models.
Nelson Ruwa +3 more
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Indic Visual Question Answering
2022 IEEE International Conference on Signal Processing and Communications (SPCOM), 2022Aditya Chandrasekar +2 more
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An Answer FeedBack Network for Visual Question Answering
2023 International Joint Conference on Neural Networks (IJCNN), 2023Weidong Tian 0001 +3 more
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Ques-to-Visual Guided Visual Question Answering
2022 IEEE International Conference on Image Processing (ICIP), 2022Xiangyu Wu +3 more
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Question-conditioned debiasing with focal visual context fusion for visual question answering
Knowledge-Based Systems, 2023Fengyu Zhou, Huijuan Xu
exaly
Multimodal feature fusion by relational reasoning and attention for visual question answering
Information Fusion, 2020Weifeng Zhang +2 more
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CAAN: Context-Aware attention network for visual question answering
Pattern Recognition, 2022Dezhi Han, Chin-Chen Chang
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OpenViVQA: Task, dataset, and multimodal fusion models for visual question answering in Vietnamese
Information Fusion, 2023Nghia Hieu Nguyen, Kiet Van Nguyen
exaly