28 citations · 128 across the 19 of their papers we have counts for
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3 papers · 1 filter
cs.CV2023★ 1 cited
Knowledge Transfer-Driven Few-Shot Class-Incremental Learning
Ye Wang, Yaxiong Wang, Guoshuai Zhao +1
Few-shot class-incremental learning (FSCIL) aims to continually learn new classes using a few samples while not forgetting the old classes. The key of this task is effective knowle…
cs.LG2023★ 1 cited
Logic Diffusion for Knowledge Graph Reasoning
Xiaoying Xie, Biao Gong, Yiliang Lv +3
Most recent works focus on answering first order logical queries to explore the knowledge graph reasoning via multi-hop logic predictions. However, existing reasoning models are li…
cs.CV2023
Learning Data-Driven Vector-Quantized Degradation Model for Animation Video Super-Resolution
Zixi Tuo, Huan Yang, Jianlong Fu +2
Existing real-world video super-resolution (VSR) methods focus on designing a general degradation pipeline for open-domain videos while ignoring data intrinsic characteristics whic…