1 code implementation • 6 May 2024 • Yunfeng Li, Bo wang, Ye Li, Zhiwen Yu, Liang Wang
The former does not fully exploit the potential of using only RGB and TIR information of the template or search region for channel and spatial feature fusion, and the latter lacks direct interaction between the template and search area, which limits the model's ability to fully exploit the original semantic information of both modalities.
Ranked #3 on Rgb-T Tracking on RGBT210
1 code implementation • 9 Oct 2023 • Yunfeng Li, Bo wang, Xueyi Wu, Zhuoyan Liu, Ye Li
Although single object trackers have achieved advanced performance, their large-scale models hinder their application on limited resources platforms.
no code implementations • 9 Sep 2023 • Zhuoyan Liu, Bo wang, Ye Li, Jiaxian He, Yunfeng Li
In this paper, we propose a plug-and-play Underwater joint image enhancement Module (UnitModule) that provides the input image preferred by the detector.
no code implementations • 30 Jul 2023 • Rundong Liu, Wenhan Liang, Weijun Luo, Yuxiang Song, He Zhang, Ruohua Xu, Yunfeng Li, Ming Liu
Hierarchical multi-label text classification aims to classify the input text into multiple labels, among which the labels are structured and hierarchical.
Multi Label Text Classification Multi-Label Text Classification +1
no code implementations • 29 Jun 2023 • Youyang Qu, Lichuan Ma, Wenjie Ye, Xuemeng Zhai, Shui Yu, Yunfeng Li, David Smith
Linkage attack is a type of dominant attack in the privacy domain, which can leverage various data sources for private data mining.
2 code implementations • 4 Jan 2023 • Yunfeng Li, Bo wang, Ye Li, Zhuoyan Liu, Wei Huo, Yueming Li, Jian Cao
The UOHT training paradigm is designed to train the sample-imbalanced underwater tracker so that the tracker is exposed to a great number of underwater domain training samples and learns the feature expressions.
no code implementations • 16 Jan 2022 • Borui Cai, Yong Xiang, Longxiang Gao, He Zhang, Yunfeng Li, JianXin Li
KGC methods assume a knowledge graph is static, but that may lead to inaccurate prediction results because many facts in the knowledge graphs change over time.
no code implementations • 21 Feb 2020 • Yuan Jin, He Zhao, Ming Liu, Ye Zhu, Lan Du, Longxiang Gao, He Zhang, Yunfeng Li
Based on the ELBOs, we propose a VAE-based Bayesian MF framework.
no code implementations • 12 Oct 2019 • Yuan Jin, Ming Liu, Yunfeng Li, Ruohua Xu, Lan Du, Longxiang Gao, Yong Xiang
Under synthetic data evaluation, VAE-BPTF tended to recover the right number of latent factors and posterior parameter values.