241 citations · 279 across the 3 of their papers we have counts for
Showing cs.CVShow all
3 papers · 1 filter
cs.CV2020★ 241 cited
Learning Open Set Network with Discriminative Reciprocal Points
Guangyao Chen, Limeng Qiao, Yemin Shi +5
Open set recognition is an emerging research area that aims to simultaneously classify samples from predefined classes and identify the rest as 'unknown'. In this process, one of t…
cs.CV2019
P-ODN: Prototype based Open Deep Network for Open Set Recognition
Yu Shu, Yemin Shi, Yaowei Wang +2
Most of the existing recognition algorithms are proposed for closed set scenarios, where all categories are known beforehand. However, in practice, recognition is essentially an op…
cs.CV2019★ 1 cited
ODN: Opening the Deep Network for Open-set Action Recognition
Yu Shu, Yemin Shi, Yaowei Wang +3
In recent years, the performance of action recognition has been significantly improved with the help of deep neural networks. Most of the existing action recognition works hold the…