8 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CV2024
FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models
Lin Zhao, Tianchen Zhao, Zinan Lin +4
In recent years, there has been significant progress in the development of text-to-image generative models. Evaluating the quality of the generative models is one essential step in…
cs.CV2024
Exploring Diverse Representations for Open Set Recognition
Yu Wang, Junxian Mu, Pengfei Zhu +1
Open set recognition (OSR) requires the model to classify samples that belong to closed sets while rejecting unknown samples during test. Currently, generative models often perform…
cs.NI2021★ 8 cited
A Federated Semi-Supervised Learning Approach for Network Traffic Classification
Yao Peng, Meirong He, Yu Wang
Network traffic classification, a task to classify network traffic and identify its type, is the most fundamental step to improve network services and manage modern networks. Class…