54 citations · 234 across the 17 of their papers we have counts for
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cs.RO2023★ 1 cited
RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot
Hao-Shu Fang, Hongjie Fang, Zhenyu Tang +5
A key challenge in robotic manipulation in open domains is how to acquire diverse and generalizable skills for robots. Recent research in one-shot imitation learning has shown prom…
cs.CV2023★ 1 cited
Exploring Data Redundancy in Real-world Image Classification through Data Selection
Zhenyu Tang, Shaoting Zhang, Xiaosong Wang
Deep learning models often require large amounts of data for training, leading to increased costs. It is particularly challenging in medical imaging, i.e., gathering distributed da…