5 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.CV2024★ 5 cited
Learn from Foundation Model: Fruit Detection Model without Manual Annotation
Yanan Wang, Zhenghao Fei, Ruichen Li +1
Recent breakthroughs in large foundation models have enabled the possibility of transferring knowledge pre-trained on vast datasets to domains with limited data availability. Agric…
cs.LG2018★ 3 cited
Accelerating Large Scale Knowledge Distillation via Dynamic Importance Sampling
Minghan Li, Tanli Zuo, Ruicheng Li +2
Knowledge distillation is an effective technique that transfers knowledge from a large teacher model to a shallow student. However, just like massive classification, large scale kn…