1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 1 cited
Cross-Modal Few-Shot Learning: a Generative Transfer Learning Framework
Zhengwei Yang, Yuke Li, Qiang Sun +3
Most existing studies on few-shot learning focus on unimodal settings, where models are trained to generalize to unseen data using a limited amount of labeled examples from a singl…
cs.CV2024
You Think, You ACT: The New Task of Arbitrary Text to Motion Generation
Runqi Wang, Caoyuan Ma, Guopeng Li +3
Text to Motion aims to generate human motions from texts. Existing settings rely on limited Action Texts that include action labels, which limits flexibility and practicability in…