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How Good is Google Bard’s Visual Understanding? An Empirical Study on Open Challenges b谷歌Bard的视觉理解有多好?开放性挑战的实证研究
4区 计算机科学
Machine Intelligence Research Pub Date : 2023-07-27 DOI: 10.1007/s11633-023-1469-x
Haotong Qin, Ge-Peng Ji, Salman Khan, Deng-Ping Fan, F. Khan, L. Gool
{"title":"How Good is Google Bard’s Visual Understanding? An Empirical Study on Open Challenges","authors":"Haotong Qin, Ge-Peng Ji, Salman Khan, Deng-Ping Fan, F. Khan, L. Gool","doi":"10.1007/s11633-023-1469-x","DOIUrl":"https://doi.org/10.1007/s11633-023-1469-x","url":null,"abstract":"","PeriodicalId":29727,"journal":{"name":"Machine Intelligence Research","volume":"20 1","pages":"605 - 613"},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44455389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Transformer: A General Framework from Machine Translation to Others Transformer:从机器翻译到其他翻译的通用框架
4区 计算机科学
Machine Intelligence Research Pub Date : 2023-06-02 DOI: 10.1007/s11633-022-1393-5
Yang Zhao, Jiajun Zhang, Chengqing Zong
{"title":"Transformer: A General Framework from Machine Translation to Others","authors":"Yang Zhao, Jiajun Zhang, Chengqing Zong","doi":"10.1007/s11633-022-1393-5","DOIUrl":"https://doi.org/10.1007/s11633-022-1393-5","url":null,"abstract":"","PeriodicalId":29727,"journal":{"name":"Machine Intelligence Research","volume":"20 1","pages":"514 - 538"},"PeriodicalIF":0.0,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41718075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Machine Learning Methods in Solving the Boolean Satisfiability Problem 解决布尔可满足性问题的机器学习方法
4区 计算机科学
Machine Intelligence Research Pub Date : 2023-06-01 DOI: 10.1007/s11633-022-1396-2
Wenxuan Guo, Hui-Ling Zhen, Xijun Li, Wanqian Luo, Mingxuan Yuan, Yaohui Jin, Junchi Yan
{"title":"Machine Learning Methods in Solving the Boolean Satisfiability Problem","authors":"Wenxuan Guo, Hui-Ling Zhen, Xijun Li, Wanqian Luo, Mingxuan Yuan, Yaohui Jin, Junchi Yan","doi":"10.1007/s11633-022-1396-2","DOIUrl":"https://doi.org/10.1007/s11633-022-1396-2","url":null,"abstract":"This paper reviews the recent literature on solving the Boolean satisfiability problem (SAT), an archetypal $$cal{N}cal{P}$$ -complete problem, with the aid of machine learning (ML) techniques. Over the last decade, the machine learning society advances rapidly and surpasses human performance on several tasks. This trend also inspires a number of works that apply machine learning methods for SAT solving. In this survey, we examine the evolving ML SAT solvers from naive classifiers with handcrafted features to emerging end-to-end SAT solvers, as well as recent progress on combinations of existing conflict-driven clause learning (CDCL) and local search solvers with machine learning methods. Overall, solving SAT with machine learning is a promising yet challenging research topic. We conclude the limitations of current works and suggest possible future directions. The collected paper list is available at https://github.com/Thinklab-SJTU/awesome-ml4co .","PeriodicalId":29727,"journal":{"name":"Machine Intelligence Research","volume":"155 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135727200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
Speech Emotion Recognition Using Cascaded Attention Network with Joint Loss for Discrimination of Confusions 基于联合损失级联注意网络的语音情绪识别
4区 计算机科学
Machine Intelligence Research Pub Date : 2023-06-01 DOI: 10.1007/s11633-022-1356-x
Yang Liu, Haoqin Sun, Wenbo Guan, Yu-xin Xia, Zhen Zhao
{"title":"Speech Emotion Recognition Using Cascaded Attention Network with Joint Loss for Discrimination of Confusions","authors":"Yang Liu, Haoqin Sun, Wenbo Guan, Yu-xin Xia, Zhen Zhao","doi":"10.1007/s11633-022-1356-x","DOIUrl":"https://doi.org/10.1007/s11633-022-1356-x","url":null,"abstract":"","PeriodicalId":29727,"journal":{"name":"Machine Intelligence Research","volume":"20 1","pages":"595 - 604"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42414786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Federated Learning on Multimodal Data: A Comprehensive Survey 多模式数据的联合学习：一项综合调查
4区 计算机科学
Machine Intelligence Research Pub Date : 2023-06-01 DOI: 10.1007/s11633-022-1398-0
Yi-Ming Lin, Yuan Gao, Maoguo Gong, Si-Jia Zhang, Yuanbo Zhang, Zhi-Yuan Li
{"title":"Federated Learning on Multimodal Data: A Comprehensive Survey","authors":"Yi-Ming Lin, Yuan Gao, Maoguo Gong, Si-Jia Zhang, Yuanbo Zhang, Zhi-Yuan Li","doi":"10.1007/s11633-022-1398-0","DOIUrl":"https://doi.org/10.1007/s11633-022-1398-0","url":null,"abstract":"","PeriodicalId":29727,"journal":{"name":"Machine Intelligence Research","volume":"1 1","pages":"1 - 15"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46703469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
OTB-morph: One-time Biometrics via Morphing OTB-morph:通过变形进行一次性生物识别
4区 计算机科学
Machine Intelligence Research Pub Date : 2023-06-01 DOI: 10.1007/s11633-023-1432-x
Mahdi Ghafourian, Julian Fierrez, Ruben Vera-Rodriguez, Aythami Morales, Ignacio Serna
{"title":"OTB-morph: One-time Biometrics via Morphing","authors":"Mahdi Ghafourian, Julian Fierrez, Ruben Vera-Rodriguez, Aythami Morales, Ignacio Serna","doi":"10.1007/s11633-023-1432-x","DOIUrl":"https://doi.org/10.1007/s11633-023-1432-x","url":null,"abstract":"Cancelable biometrics are a group of techniques to transform the input biometric to an irreversible feature intentionally using a transformation function and usually a key in order to provide security and privacy in biometric recognition systems. This transformation is repeatable enabling subsequent biometric comparisons. This paper introduces a new idea to be exploited as a transformation function for cancelable biometrics aimed at protecting templates against iterative optimization attacks. Our proposed scheme is based on time-varying keys (random biometrics in our case) and morphing transformations. An experimental implementation of the proposed scheme is given for face biometrics. The results confirm that the proposed approach is able to withstand leakage attacks while improving the recognition performance.","PeriodicalId":29727,"journal":{"name":"Machine Intelligence Research","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135727202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Correction to: YOLOP: You Only Look Once for Panoptic Driving Perception 修正:yolo:你只看一次Panoptic Driving Perception
4区 计算机科学
Machine Intelligence Research Pub Date : 2023-05-27 DOI: 10.1007/s11633-023-1452-6
Dong Wu, Man-Wen Liao, Wei-Tian Zhang, Xing-Gang Wang, Xiang Bai, Wen-Qing Cheng, Wen-Yu Liu
{"title":"Correction to: YOLOP: You Only Look Once for Panoptic Driving Perception","authors":"Dong Wu, Man-Wen Liao, Wei-Tian Zhang, Xing-Gang Wang, Xiang Bai, Wen-Qing Cheng, Wen-Yu Liu","doi":"10.1007/s11633-023-1452-6","DOIUrl":"https://doi.org/10.1007/s11633-023-1452-6","url":null,"abstract":"","PeriodicalId":29727,"journal":{"name":"Machine Intelligence Research","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135950401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
MVContrast: Unsupervised Pretraining for Multi-view 3D Object Recognition MVContrast:多视图3D物体识别的无监督预训练
4区 计算机科学
Machine Intelligence Research Pub Date : 2023-05-10 DOI: 10.1007/s11633-023-1430-z
Lu Wang, Hongbin Xu, Wenxiong Kang
{"title":"MVContrast: Unsupervised Pretraining for Multi-view 3D Object Recognition","authors":"Lu Wang, Hongbin Xu, Wenxiong Kang","doi":"10.1007/s11633-023-1430-z","DOIUrl":"https://doi.org/10.1007/s11633-023-1430-z","url":null,"abstract":"","PeriodicalId":29727,"journal":{"name":"Machine Intelligence Research","volume":" ","pages":"1-12"},"PeriodicalIF":0.0,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44730506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Cross-modal Contrastive Learning for Generalizable and Efficient Image-text Retrieval 基于跨模态对比学习的通用高效图像文本检索
4区 计算机科学
Machine Intelligence Research Pub Date : 2023-05-03 DOI: 10.1007/s11633-022-1386-4
Haoyu Lu, Yuqi Huo, Mingyu Ding, Nanyi Fei, Zhiwu Lu
{"title":"Cross-modal Contrastive Learning for Generalizable and Efficient Image-text Retrieval","authors":"Haoyu Lu, Yuqi Huo, Mingyu Ding, Nanyi Fei, Zhiwu Lu","doi":"10.1007/s11633-022-1386-4","DOIUrl":"https://doi.org/10.1007/s11633-022-1386-4","url":null,"abstract":"","PeriodicalId":29727,"journal":{"name":"Machine Intelligence Research","volume":" ","pages":"1-14"},"PeriodicalIF":0.0,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46266465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Deep Learning-based Moving Object Segmentation: Recent Progress and Research Prospects 基于深度学习的运动目标分割研究进展与展望
4区 计算机科学
Machine Intelligence Research Pub Date : 2023-04-20 DOI: 10.1007/s11633-022-1378-4
Rui Jiang, Ruixiang Zhu, Hu Su, Yinlin Li, Yuan Xie, Wei Zou
{"title":"Deep Learning-based Moving Object Segmentation: Recent Progress and Research Prospects","authors":"Rui Jiang, Ruixiang Zhu, Hu Su, Yinlin Li, Yuan Xie, Wei Zou","doi":"10.1007/s11633-022-1378-4","DOIUrl":"https://doi.org/10.1007/s11633-022-1378-4","url":null,"abstract":"","PeriodicalId":29727,"journal":{"name":"Machine Intelligence Research","volume":"1 1","pages":"1-35"},"PeriodicalIF":0.0,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49668721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
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