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Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 822-836
作者:  Kai Zhang;  Yawei Li;  Jingyun Liang;  Jiezhang Cao;  Yulun Zhang;  Hao Tang;  Deng-Ping Fan;  Radu Timofte;  Luc Van Gool
Adobe PDF(7952Kb)  |  收藏  |  浏览/下载:7/3  |  提交时间:2024/04/23
Blind image denoising, real image denosing data synthesis, Transformer, image signal processing (ISP) pipeline  
How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 605-613
作者:  Haotong Qin;   Ge-Peng Ji;  Salman Khan;  Deng-Ping Fan;  Fahad Shahbaz Khan;  Luc Van Gool
Adobe PDF(10373Kb)  |  收藏  |  浏览/下载:5/2  |  提交时间:2024/04/23
Google Bard, multi-modal understanding, visual comprehension, large language models, conversational AI, chatbot  
Cross-modal Contrastive Learning for Generalizable and Efficient Image-text Retrieval 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 569-582
作者:  Haoyu Lu;  Yuqi Huo;  Mingyu Ding;  Nanyi Fei;  Zhiwu Lu
Adobe PDF(2928Kb)  |  收藏  |  浏览/下载:7/2  |  提交时间:2024/04/23
Image-text retrieval, multimodal modeling, contrastive learning, weak correlation, computer vision  
Large-scale Multi-modal Pre-trained Models: A Comprehensive Survey 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 4, 页码: 447-482
作者:  Xiao Wang;  Guangyao Chen;  Guangwu Qian;  Pengcheng Gao;  Xiao-Yong Wei;  Yaowei Wang;  Yonghong Tian;  Wen Gao
Adobe PDF(3540Kb)  |  收藏  |  浏览/下载:14/3  |  提交时间:2024/04/23
Multi-modal (MM), pre-trained model (PTM), information fusion, representation learning, deep learning  
Deep Learning-based Moving Object Segmentation: Recent Progress and Research Prospects 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 335-369
作者:  Rui Jiang;  Ruixiang Zhu;  Hu Su;  Yinlin Li;  Yuan Xie;  Wei Zou
Adobe PDF(9061Kb)  |  收藏  |  浏览/下载:6/0  |  提交时间:2024/04/23
Moving object segmentation (MOS), change detection, background subtraction, deep learning (DL), video understanding  
A Survey on Recent Advances and Challenges in Reinforcement Learning Methods for Task-oriented Dialogue Policy Learning 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 318-334
作者:  Wai-Chung Kwan;  Hong-Ru Wang;  Hui-Min Wang;  Kam-Fai Wong
Adobe PDF(2211Kb)  |  收藏  |  浏览/下载:0/0  |  提交时间:2024/04/23
Dialogue policy learning (DPL), task-oriented dialogue system (TOD), reinforcement learning (RL), dialogue system, Markov decision process  
Vision Enhanced Generative Pre-trained Language Model for Multimodal Sentence Summarization 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 2, 页码: 289-298
作者:  Liqiang Jing;  Yiren Li;  Junhao Xu;  Yongcan Yu;  Pei Shen;  Xuemeng Song
Adobe PDF(2389Kb)  |  收藏  |  浏览/下载:8/3  |  提交时间:2024/04/23
Multimodal sentence summarization (MMSS)  generative pre-trained language model (GPLM)  natural language generation  deep learning  artificial intelligence  
Red Alarm for Pre-trained Models: Universal Vulnerability to Neuron-level Backdoor Attacks 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 2, 页码: 180-193
作者:  Zhengyan Zhang;  Guangxuan Xiao;  Yongwei Li;  Tian Lv;  Fanchao Qi;  Zhiyuan Liu;  Yasheng Wang;  Xin Jiang;  Maosong Sun
Adobe PDF(1649Kb)  |  收藏  |  浏览/下载:11/3  |  提交时间:2024/04/23
Pre-trained language models  backdoor attacks  transformers  natural language processing (NLP)  computer vision (CV)  
Editorial for Special Issue on Large-scale Pre-training: Data, Models, and Fine-tuning 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 2, 页码: 145-146
作者:  Ji-Rong Wen;  Zi Huang;  Hanwang Zhang
Adobe PDF(513Kb)  |  收藏  |  浏览/下载:5/2  |  提交时间:2024/04/23
Swarm Intelligence Research: From Bio-inspired Single-population Swarm Intelligence to Humanmachine Hybrid Swarm Intelligence 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 121-144
作者:  Guo-Yin Wang;  Dong-Dong Cheng;  De-You Xia;  Hai-Huan Jiang
Adobe PDF(2487Kb)  |  收藏  |  浏览/下载:10/6  |  提交时间:2024/04/23
Swarm intelligence  single-population  multi-population  human-machine hybrid  multi-granularity