4 papers · 1 filter
HyLoVQA: Dynamic Hypernetwork-Generated Low-Rank Adaptation for Continual Visual Question Answering
Yiran Wang, Chenyi Xiong, Ziyue Qin +3
Continual Visual Question Answering (VQA) requires learning from non-stationary streams of visual inputs and questions while preserving past knowledge. Most prior methods adapt by…
MacVQA: Adaptive Memory Allocation and Global Noise Filtering for Continual Visual Question Answering
Zhifei Li, Yiran Wang, Chenyi Xiong +6
Visual Question Answering (VQA) requires models to reason over multimodal information, combining visual and textual data. With the development of continual learning, significant pr…
Integrating Object Interaction Self-Attention and GAN-Based Debiasing for Visual Question Answering
Zhifei Li, Feng Qiu, Yiran Wang +4
Visual Question Answering (VQA) presents a unique challenge by requiring models to understand and reason about visual content to answer questions accurately. Existing VQA models of…
SCRA-VQA: Summarized Caption-Rerank for Augmented Large Language Models in Visual Question Answering
Yan Zhang, Jiaqing Lin, Miao Zhang +4
Acquiring high-quality knowledge is a central focus in Knowledge-Based Visual Question Answering (KB-VQA). Recent methods use large language models (LLMs) as knowledge engines for…