3 citations · 5 across the 4 of their papers we have counts for
4 papers
Referring Image Segmentation Using Text Supervision
Fang Liu, Yuhao Liu, Yuqiu Kong +5
Existing Referring Image Segmentation (RIS) methods typically require expensive pixel-level or box-level annotations for supervision. In this paper, we observe that the referring t…
Fast Adversarial Training with Smooth Convergence
Mengnan Zhao, Lihe Zhang, Yuqiu Kong +1
Fast adversarial training (FAT) is beneficial for improving the adversarial robustness of neural networks. However, previous FAT work has encountered a significant issue known as c…
Scattering operator and wave operators for 2D Schrödinger operators with threshold obstructions
Serge Richard, Rafael Tiedra de Aldecoa, Lyang Zhang
We determine the low-energy behaviour of the scattering operator of two-dimensional Schrödinger operators with any type of obstructions at 0-energy. We also derive explicit formula…
Multi-source weak supervision for saliency detection
Yu Zeng, Yunzhi Zhuge, Huchuan Lu +3
The high cost of pixel-level annotations makes it appealing to train saliency detection models with weak supervision. However, a single weak supervision source usually does not con…