2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 2 cited
Small Object Detection via Coarse-to-fine Proposal Generation and Imitation Learning
Xiang Yuan, Gong Cheng, Kebing Yan +2
The past few years have witnessed the immense success of object detection, while current excellent detectors struggle on tackling size-limited instances. Concretely, the well-known…
cs.LG2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning
Jun Shu, Xiang Yuan, Deyu Meng +1
Meta learning recently has been heavily researched and helped advance the contemporary machine learning. However, achieving well-performing meta-learning model requires a large amo…
cs.MM2023★ 2 cited
Building a Modal-balanced BlockChain with Semantic Reconstruction
Zhijie Tan, Xiang Yuan, Shengwei Meng +4
The current large blockchain systems (BTC Lightning network, Ethereum, etc.) are generally facing the problems of low persistence rates and high storage costs. Therefore, users ten…