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.
no code implementations • 1 Apr 2024 • Yulin Chen, Guoheng Huang, Kai Huang, Zijin Lin, Guo Zhong, Shenghong Luo, Jie Deng, Jian Zhou
This novel framework offers improved performance with fewer parameters and holds significant potential for accurate segmentation of lesion regions in various medical tasks, making it clinically valuable.
no code implementations • 26 Mar 2024 • Hao Tang, Lianglun Cheng, Guoheng Huang, Zhengguang Tan, Junhao Lu, Kaihong Wu
Image segmentation holds a vital position in the realms of diagnosis and treatment within the medical domain.
no code implementations • 18 Mar 2024 • Zhizhen Zhou, Yejing Huo, Guoheng Huang, An Zeng, Xuhang Chen, Lian Huang, Zinuo Li
The study of music-generated dance is a novel and challenging Image generation task.
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)