no code implementations • 31 Mar 2024 • Jingyu Wang, Niantai Jing, Ziyao Liu, Jie Nie, Yuxin Qi, Chi-Hung Chi, Kwok-Yan Lam
Additionally, we extract inconsistent regions between coarse similar regions obtained through self-correlation calculations and regions composed of prototypes.
no code implementations • 19 Mar 2024 • Jinying Xiao, Ping Li, Zhe Tang, Jie Nie
Pruning before training enables the deployment of neural networks on smart devices.
1 code implementation • 19 Mar 2024 • Jinying Xiao, Ping Li, Jie Nie, Zhe Tang
We utilize this design to dynamically assess the importance scores of weights. SEVEN is introduced by us, which particularly favors weights with consistently high sensitivity, i. e., weights with small gradient noise.
no code implementations • 6 Mar 2024 • Jialu Shi, Zhiqiang Wei, Jie Nie, Lei Huang
In this paper, we present to incorporate the subtle local fine-grained feature learning into global self-supervised contrastive learning through a pure self-supervised global-local fine-grained contrastive learning framework.
no code implementations • 21 Jan 2024 • Zhigang Wang, Hangyu Yang, Ning Wang, Chuanfei Xu, Jie Nie, Zhiqiang Wei, Yu Gu, Ge Yu
However, training its complex network is very space-consuming, since a lot of intermediate data are preserved across layers, especially when processing high-dimension inputs with a big batch size.
no code implementations • 6 Aug 2023 • Rihao Chang, Yongtao Ma, Weizhi Nie, Jie Nie, An-An Liu
In modern industries, fault diagnosis has been widely applied with the goal of realizing predictive maintenance.
no code implementations • 12 Dec 2022 • Chengyu Zheng, Ning Song, Ruoyu Zhang, Lei Huang, Zhiqiang Wei, Jie Nie
To address these issues, we propose a novel Scale-Semantic Joint Decoupling Network (SSJDN) for remote sensing image-text retrieval.
no code implementations • 18 Jul 2022 • Zan Gao, Hongwei Wei, Weili Guan, Jie Nie, Meng Wang, Shenyong Chen
In addition, a visual clothes shielding module (VCS) is also designed to extract a more robust feature representation for the cloth-changing task by covering the clothing regions and focusing the model on the visual semantic information unrelated to the clothes.
Cloth-Changing Person Re-Identification Semantic Segmentation