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cs.CV2025★ 1 cited
Can masking background and object reduce static bias for zero-shot action recognition?
Takumi Fukuzawa, Kensho Hara, Hirokatsu Kataoka +1
In this paper, we address the issue of static bias in zero-shot action recognition. Action recognition models need to represent the action itself, not the appearance. However, some…
cs.CV2025
Text-guided Synthetic Geometric Augmentation for Zero-shot 3D Understanding
Kohei Torimi, Ryosuke Yamada, Daichi Otsuka +4
Zero-shot recognition models require extensive training data for generalization. However, in zero-shot 3D classification, collecting 3D data and captions is costly and laborintensi…