Intra-Modality Feature Interaction Using Self-attention for Visual Question AnsweringBetter capturing the interactions of different modality is a hot research topic in visual question answering (VQA) recently. Inspired by human vision information processing, a method of VQA based on......
另一方面,CV和NLP中都有算法是聚焦于学习模态内部(intra-modality)关系的,比如用图网络处理图像的检测目标、Transformer的self-attention等。 事实上,虽然文章里没有提及,但我之前也了解到,在VQA领域也有人尝试了对intra-modality关系建模,不过文章的关键点倒是说得不错:没有人尝试过同时利用这两类关系来处理VQA问题。
The multi-modal feature fusion module nests modality-aware feature aggregation, and the multi-modal features are better fused through long-term dependencies within each modality in the self-attention and cross-attention layers. The experiments showed that our CMMFNet outperformed state-of-the-art ...
Inspired by this, we pay attention to the task of text-based visual question answering, address the performance bottleneck issue caused by over-fitting risk in existing self-attention-based models, and propose a scenario text visual question answering method called INT2-VQA...
3.4.1. Multi-head Attention Layer The multi-head attention layer in itself is a blend of multiple attention layers. The latter focuses on calculating self-attention using vectors in the form of matrix multiplication. For this, initially, three matrices, namely Query, Key, and Value, are ...
These children are at greater risk of behavioural problems and mental health disorders, including anxiety, anger, depression and suicidal ideations, withdrawal, low self-esteem, and attention deficit hyperactivity disorder. The purpose of the present pilot study was to test the efficacy of EAP in a...
These children are at greater risk of behavioural problems and mental health disorders, including anxiety, anger, depression and suicidal ideations, withdrawal, low self-esteem, and attention deficit hyperactivity disorder. The purpose of the present pilot study was to test the efficacy of EAP in a...
Unsupervised learning has recently attracted significant attention, particularly in computer vision. The contrastive learning method is prominent among various unsupervised learning methods [11,12,13,14,15,16,17]. In addition, recent attempts have been made to remove negative pairs, which is a ...