no code implementations • 20 Apr 2024 • Guangyin Bao, Zixuan Gong, Qi Zhang, Jialei Zhou, Wei Fan, Kun Yi, Usman Naseem, Liang Hu, Duoqian Miao
We meticulously evaluate the performance of our approach across coarse-grained and fine-grained visual decoding tasks.
no code implementations • 19 Apr 2024 • Zixuan Gong, Qi Zhang, Guangyin Bao, Lei Zhu, Ke Liu, Liang Hu, Duoqian Miao
Decoding natural visual scenes from brain activity has flourished, with extensive research in single-subject tasks and, however, less in cross-subject tasks.
no code implementations • 3 Feb 2024 • Jianing He, Qi Zhang, Weiping Ding, Duoqian Miao, Jun Zhao, Liang Hu, Longbing Cao
DE$^3$-BERT implements a hybrid exiting strategy that supplements classic entropy-based local information with distance-based global information to enhance the estimation of prediction correctness for more reliable early exiting decisions.
no code implementations • 21 Dec 2023 • Guangyin Bao, Qi Zhang, Duoqian Miao, Zixuan Gong, Liang Hu, Ke Liu, Yang Liu, Chongyang Shi
In real-world scenarios, multimodal federated learning often faces the practical challenge of intricate modality missing, which poses constraints on building federated frameworks and significantly degrades model inference accuracy.
1 code implementation • 18 Dec 2023 • An Lao, Qi Zhang, Chongyang Shi, Longbing Cao, Kun Yi, Liang Hu, Duoqian Miao
Multimodal content, such as mixing text with images, presents significant challenges to rumor detection in social media.
no code implementations • 6 Dec 2023 • Zixuan Gong, Qi Zhang, Guangyin Bao, Lei Zhu, Yu Zhang, Ke Liu, Liang Hu, Duoqian Miao
The limited data availability and the low signal-to-noise ratio of fMRI signals lead to the challenging task of fMRI-to-image retrieval.
no code implementations • 18 Feb 2023 • Dong Chen, Duoqian Miao, Xuerong Zhao
In this paper, we point out that the essential differences between CNN-based and Transformer-based detectors, which cause the worse performance of small objects in Transformer-based methods, are the gap between local information and global dependencies in feature extraction and propagation.
1 code implementation • 8 Dec 2022 • Cairong Zhao, Yubin Wang, Xinyang Jiang, Yifei Shen, Kaitao Song, Dongsheng Li, Duoqian Miao
Prompt learning is one of the most effective and trending ways to adapt powerful vision-language foundation models like CLIP to downstream datasets by tuning learnable prompt vectors with very few samples.
Ranked #4 on Prompt Engineering on Caltech-101
1 code implementation • 20 Nov 2022 • Wenli Sun, Xinyang Jiang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cheng Deng, Cairong Zhao
Instead of learning fixed triggers for the target classes from the training set, DT-IBA can dynamically generate new triggers for any unknown identities.
1 code implementation • IEEE Transactions on Circuits and Systems for Video Technology 2022 • Cairong Zhao, Zhicheng Chen, Shuguang Dou, Zefan Qu, Jiawei Yao, Jun Wu, Duoqian Miao
For human-introduced noise, we propose a noise-discovery and noise-suppression training process for mislabeling robust person search.
no code implementations • 21 Feb 2022 • Qingsong Zhao, Yi Wang, Zhipeng Zhou, Duoqian Miao, LiMin Wang, Yu Qiao, Cairong Zhao
Flattening is essential in computer vision by converting multi-dimensional feature maps or images into one-dimensional vectors.
2 code implementations • IEEE Transactions on Image Processing 2021 • Cairong Zhao, Yuanpeng Tu, Zhihui Lai, Fumin Shen, Heng Tao Shen, Duoqian Miao
Moreover, a novel iterative asymmetric mutual training strategy (IAMT) is proposed to alleviate drawbacks of common mutual learning, which can continuously refine the discriminative regions for SSB and extract regularized dark knowledge for two models as well.
1 code implementation • IEEE Transactions on Circuits and Systems for Video Technology 2021 • Shaowei Hou, Cairong Zhao, Zhicheng Chen, Jun Wu, Zhihua Wei, Duoqian Miao
Our method achieves comparable performance on two benchmarks, CUHK-SYSU and PRW, and achieves 91. 96% of mAP and 93. 34% of rank1 accuracy on CUHK-SYSU.
1 code implementation • 22 Mar 2021 • Dong Chen, Duoqian Miao
In this paper, we first present an evaluation-feedback module, which is proposed to consist of evaluation system and feedback mechanism.
1 code implementation • 18 Mar 2021 • Zhengjia Li, Duoqian Miao
Person search aims at jointly solving Person Detection and Person Re-identification (re-ID).
Ranked #7 on Person Search on PRW
1 code implementation • 23 Jan 2021 • Can Gao, Jie Zhoua, Duoqian Miao, Xiaodong Yue, Jun Wan
Attribute reduction is one of the most important research topics in the theory of rough sets, and many rough sets-based attribute reduction methods have thus been presented.
1 code implementation • IEEE Transactions on Multimedia 2020 • Cairong Zhao, Xinbi Lv, Zhang Zhang, WangMeng Zuo, Jun Wu, Duoqian Miao
The extraction of robust feature representations from pedestrian images through CNNs with a single deterministic pooling operation is problematic as the features in real pedestrian images are complex and diverse.
no code implementations • 27 Mar 2019 • Yuebing Zhang, Duoqian Miao, Jiaqi Wang
Cross-domain sentiment classification (CDSC) is an importance task in domain adaptation and sentiment classification.