4 papers · 1 filter
More Perspectives, Stronger Signals: Multi-Perspective Enhancement and Progressive Fusion for Multimodal Entity Representation Learning
Chenyi Xiong, Yan Zhang, Jing Hu +5
Learning effective multimodal entity representations is fundamental for reasoning tasks such as multimodal knowledge graph completion (MMKGC). However, existing methods often suffe…
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…
MyGram: Modality-aware Graph Transformer with Global Distribution for Multi-modal Entity Alignment
Zhifei Li, Ziyue Qin, Xiangyu Luo +6
Multi-modal entity alignment aims to identify equivalent entities between two multi-modal Knowledge graphs by integrating multi-modal data, such as images and text, to enrich the s…
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…