no code implementations • 5 Nov 2023 • Shuo Chen, Boxiao Liu, Haihang You
Firstly, we propose a low-cost metric for the criticality in SNNs.
no code implementations • 22 Dec 2021 • Zite Jiang, Boxiao Liu, Shuai Zhang, Xingzhong Hou, Mengting Yuan, Haihang You
Subgraph matching is a NP-complete problem that extracts isomorphic embeddings of a query graph $q$ in a data graph $G$.
no code implementations • ICCV 2021 • Boxiao Liu, Shenghan Zhang, Guanglu Song, Haihang You, Yu Liu
In this paper, we first quantitatively define the uniformity of the sampled data for training, providing a unified view for methods that learn from biased data.
Ranked #1 on Face Verification on IJB-C (training dataset metric)
no code implementations • 29 Sep 2021 • Xingzhong Hou, Boxiao Liu, Fang Wan, Haihang You
The existing pipeline is first pretraining a source model (which contains a generator and a discriminator) on a large-scale dataset and finetuning it on a target domain with limited samples.
no code implementations • ICCV 2021 • Boxiao Liu, Guanglu Song, Manyuan Zhang, Haihang You, Yu Liu
When collaborated with the popular ArcFace on million-level data representation learning, we found that the switchable manner in SKH can effectively eliminate the gradient conflict generated by real-world label noise on a single K-class hyperplane.
no code implementations • 27 Feb 2020 • Yi Chu, Chuan Luo, Holger H. Hoos, QIngwei Lin, Haihang You
The maximum vertex weight clique problem (MVWCP) is an important generalization of the maximum clique problem (MCP) that has a wide range of real-world applications.
no code implementations • 14 Jun 2019 • Yan Gao, Boxiao Liu, Nan Guo, Xiaochun Ye, Fang Wan, Haihang You, Dongrui Fan
Weakly supervised object detection (WSOD) focuses on training object detector with only image-level annotations, and is challenging due to the gap between the supervision and the objective.