no code implementations • 17 Apr 2024 • Xueyuan Gong, Yain-Whar Si, Zheng Zhang, Xiaochen Yuan, Ke Wang, Xinyuan Zhang, Cong Lin, Xiaoxiang Liu
MHLR supports large-scale FR training with only one GPU, which is able to accelerate the model to 1/4 of its original training time without sacrificing more than 1% accuracy.
no code implementations • 1 Apr 2024 • Qiusen Wei, Guoheng Huang, Xiaochen Yuan, Xuhang Chen, Guo Zhong, Jianwen Huang, Jiajie Huang
Thanks to the lightweight nature of the decoder and AQP, we can handle multiple datasets by sharing the backbone encoder and then only perform partial parameter tuning without incurring much additional cost.
1 code implementation • 18 Aug 2023 • Lin Yuan, Guoheng Huang, Fenghuan Li, Xiaochen Yuan, Chi-Man Pun, Guo Zhong
This module can construct the interaction between different modalities and capture long-range contextual information based on similarity clusters.
1 code implementation • 12 May 2023 • Zewen Zheng, Guoheng Huang, Xiaochen Yuan, Chi-Man Pun, Hongrui Liu, Wing-Kuen Ling
In this paper, we introduce a quaternion perspective on correlation learning and propose a novel Quaternion-valued Correlation Learning Network (QCLNet), with the aim to alleviate the computational burden of high-dimensional correlation tensor and explore internal latent interaction between query and support images by leveraging operations defined by the established quaternion algebra.
Ranked #19 on Few-Shot Semantic Segmentation on COCO-20i (5-shot)