The 2nd AAAI Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD)最新文献

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iBALR3D: imBalanced-Aware Long-Range 3D Semantic Segmentation iBALR3D:图像平衡感知远距离三维语义分割
Keying Zhang, Ruirui Cai, Xinqiao Wu, Jiguang Zhao, Ping Qin
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引用次数: 0
Exploring 3D Object Detection for Autonomous Factory Driving: Advanced Research on Handling Limited Annotations with Ground Truth Sampling Augmentation 探索工厂自动驾驶的 3D 物体检测:利用地面实况采样增强处理有限注释的高级研究
Matthias Reuse, Karl Amende, Martin Simon, Bernhard Sick
{"title":"Exploring 3D Object Detection for Autonomous Factory Driving: Advanced Research on Handling Limited Annotations with Ground Truth Sampling Augmentation","authors":"Matthias Reuse, Karl Amende, Martin Simon, Bernhard Sick","doi":"10.3390/cmsf2024009005","DOIUrl":"https://doi.org/10.3390/cmsf2024009005","url":null,"abstract":": Autonomously driving vehicles in car factories and parking spaces can represent a competitive advantage in the logistics industry. However, the real-world application is challenging in many ways. First of all, there are no publicly available datasets for this specific task. Therefore, we equipped two industrial production sites with up to 11 LiDAR sensors to collect and annotate our own data for infrastructural 3D object detection. These form the basis for extensive experiments. Due to the still limited amount of labeled data, the commonly used ground truth sampling augmentation is the core of research in this work. Several variations of this augmentation method are explored, revealing that in our case, the most commonly used is not necessarily the best. We show that an easy-to-create polygon can noticeably improve the detection results in this application scenario. By using these augmentation methods, it is even possible to achieve moderate detection results when only empty frames without any objects and a database with only a few labeled objects are used.","PeriodicalId":517157,"journal":{"name":"The 2nd AAAI Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD)","volume":"224 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140452384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Semi-Supervised Implicit Augmentation for Data-Scarce VQA 针对数据无痕 VQA 的半监督隐式增强技术
Bhargav Dodla, Kartik Hegde, A. N. Rajagopalan
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引用次数: 0
Semi-Supervised Implicit Augmentation for Data-Scarce VQA 针对数据无痕 VQA 的半监督隐式增强技术
Bhargav Dodla, Kartik Hegde, A. N. Rajagopalan
{"title":"Semi-Supervised Implicit Augmentation for Data-Scarce VQA","authors":"Bhargav Dodla, Kartik Hegde, A. N. Rajagopalan","doi":"10.3390/cmsf2024009003","DOIUrl":"https://doi.org/10.3390/cmsf2024009003","url":null,"abstract":"","PeriodicalId":517157,"journal":{"name":"The 2nd AAAI Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD)","volume":"267 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139896079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Frustratingly Easy Environment Discovery for Invariant Learning 令人沮丧地轻松发现环境,促进不变性学习
Samira Zare, H. Nguyen
{"title":"Frustratingly Easy Environment Discovery for Invariant Learning","authors":"Samira Zare, H. Nguyen","doi":"10.3390/cmsf2024009002","DOIUrl":"https://doi.org/10.3390/cmsf2024009002","url":null,"abstract":"","PeriodicalId":517157,"journal":{"name":"The 2nd AAAI Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD)","volume":"48 31","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140487318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Statement of Peer Review 同行审议声明
Kuan-Chuan Peng, Abhishek Aich, Ziyan Wu
{"title":"Statement of Peer Review","authors":"Kuan-Chuan Peng, Abhishek Aich, Ziyan Wu","doi":"10.3390/cmsf2024009001","DOIUrl":"https://doi.org/10.3390/cmsf2024009001","url":null,"abstract":"","PeriodicalId":517157,"journal":{"name":"The 2nd AAAI Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD)","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140498496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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