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检索条件"主题词=Object Localization"
471 条 记 录,以下是1-10 订阅
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object localization in Highly Cluttered Environments Using Neural Network Learning on Microwave Scattering Data
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MICROWAVE AND OPTICAL TECHNOLOGY LETTERS 2024年 第11期66卷
作者: Jeong, Janghoon Park, Won-Kwang Son, Seong-Ho Soonchunhyang Univ Dept ICT Convergence Asan South Korea Kookmin Univ Dept Informat Secur Cryptog & Math Seoul South Korea Soonchunhyang Univ Dept Mech Engn Asan South Korea
Bifocusing-based microwave imaging is a promising direct imaging method for object localization in various applications. However, the method has the limitation that it only works well in environments with a homogenous... 详细信息
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CLIP-Driven Transformer for Weakly Supervised object localization
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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2025年 第6期47卷 4878-4896页
作者: Chen, Zhiwei Shen, Yunhang Cao, Liujuan Zhang, Shengchuan Ji, Rongrong Xiamen Univ Key Lab Multimedia Trusted Percept & Efficient Com Minist Educ China Xiamen 361005 Peoples R China Tencent Youtu Lab Shanghai 200233 Peoples R China
Weakly supervised object localization (WSOL) aims to localize objects using only image-level labels as supervision. Despite recent advancements incorporating transformers into WSOL have resulted in improvements, these... 详细信息
来源: 评论
Rethinking erasing strategy on weakly supervised object localization
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SIGNAL PROCESSING-IMAGE COMMUNICATION 2025年 135卷
作者: Fan, Yuming Wei, Shikui Tan, Chuangchuang Chen, Xiaotong Yang, Dongming Zhao, Yao Beijing Jiaotong Univ Inst Informat Sci Beijing 100044 Peoples R China Visual Intellgence X Int Cooperat Joint Lab MOE Inst Informat Sci Beijing Peoples R China ChinaTelecom Cloud Technol Co Ltd Beijing Peoples R China
Weakly supervised object localization (WSOL) is a challenging task that aims to locate object regions in images using image-level labels as supervision. Early research utilized erasing strategy to expand the localizat... 详细信息
来源: 评论
Learning Local Semantic Region Activations for Weakly Supervised object localization
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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 2024年 第10期34卷 10182-10193页
作者: Xu, Can Hui, Le Han, Yuehui Jiang, Haobo Chen, Jiaxin Xie, Jin Yang, Jian Nanjing Univ Sci & Technol Sch Comp Sci & Engn Nanjing 210094 Peoples R China Northwestern Polytech Univ Sch Elect & Informat Xian 710072 Peoples R China Nanjing Univ State Key Lab Novel Software Technol Nanjing 210093 Peoples R China Nanjing Univ Sch Intelligence Sci & Technol Nanjing 210093 Peoples R China
Weakly supervised object localization (WSOL) aims to train instance-level locators by exploiting accessible image-level labels. By multiplying channel-wise features with classification weights and then adding them tog... 详细信息
来源: 评论
Discovering an inference recipe for weakly-supervised object localization
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PATTERN RECOGNITION 2024年 156卷
作者: Lee, Sanghuk Mun, Cheolhyun Uh, Youngjung Choe, Junsuk Byun, Hyeran Yonsei Univ Grad Sch Artificial Intelligence Seoul South Korea Yonsei Univ Dept Comp Sci Seoul South Korea Yonsei Univ Dept Appl Informat Engn Seoul South Korea Sogang Univ Dept Comp Sci & Engn Seoul South Korea
Most existing weakly-supervised object localization (WSOL) methods have improved training procedures for better localization performance. However, the inference procedure has been overlooked. We observe that the usefu... 详细信息
来源: 评论
Feature disparity learning for weakly supervised object localization
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IMAGE AND VISION COMPUTING 2024年 145卷
作者: Li, Bingfeng Ruan, Haohao Li, Xinwei Wang, Keping Henan Polytech Univ Sch Elect Engn & Automat Jiaozuo 454003 Peoples R China Henan Key Lab Intelligent Detect & Control Coal Mi Jiaozuo 454003 Peoples R China
Weakly supervised object localization (WSOL) aims to localize objects with only image-level labels. As a common WSOL method, adversarial erasing always masks the most discriminative region in the feature space to comp... 详细信息
来源: 评论
Boosting Weakly Supervised object localization and Segmentation With Domain Adaption
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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2024年 第12期46卷 8680-8695页
作者: Zhu, Lei She, Qi Chen, Qian Ren, Qiushi Lu, Yanye Peking Univ Hlth Sci Ctr Inst Med Technol Beijing 100191 Peoples R China Peking Univ Dept Biomed Engn Beijing 100871 Peoples R China Peking Univ Natl Biomed Imaging Ctr Beijing 100871 Peoples R China Shenzhen Bay Lab Inst Biomed Engn Shenzhen 5181071 Peoples R China Peking Univ Shenzhen Grad Sch Inst Biomed Engn Shenzhen 518055 Peoples R China ByteDance Beijing 100086 Peoples R China
Weakly supervised object localization (WSOL), adopting only image-level annotations to learn the pixel-level localization model, can release human resources in the annotation process. Most one-stage WSOL methods learn... 详细信息
来源: 评论
object localization Using Vision Transformer with a Loss Function Based on IOU and Mean Squared Error
Object Localization Using Vision Transformer with a Loss Fun...
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International Conference on Computational Science and Computational Intelligence (CSCI)
作者: Cheng, Hong Cheng, Wen Southern Arkansas Univ Dept Math & Comp Sci Magiolia AR 71753 USA
In this paper, we present a novel methodology employing a Vision Transformer coupled with a loss function derived from Intersection over Union (IOU) and Mean Squared Error (MSE) for precise object localization or boun... 详细信息
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Generalized Weakly Supervised object localization
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IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2024年 第4期35卷 5395-5406页
作者: Zhang, Dingwen Guo, Guangyu Zeng, Wenyuan Li, Lei Han, Junwei Northwestern Polytech Univ Sch Automat Brain & Artificial Intelligence Lab Xian 710129 Peoples R China Hefei Comprehens Natl Sci Ctr Inst Artificial Intelligence Hefei 230026 Peoples R China Sci & Technol Complex Syst Control & Intelligent Beijing 100074 Peoples R China
With the goal of learning to localize specific object semantics using the low-cost image-level annotation, weakly supervised object localization (WSOL) has been receiving increasing attention in recent years. Although... 详细信息
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Background Activation Suppression for Weakly Supervised object localization and Semantic Segmentation
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INTERNATIONAL JOURNAL OF COMPUTER VISION 2024年 第3期132卷 750-775页
作者: Zhai, Wei Wu, Pingyu Zhu, Kai Cao, Yang Wu, Feng Zha, Zheng-Jun Univ Sci & Technol China Hefei Peoples R China Hefei Comprehens Natl Sci Ctr Inst Artificial Intelligence Hefei Peoples R China
Weakly supervised object localization and semantic segmentation aim to localize objects using only image-level labels. Recently, a new paradigm has emerged by generating a foreground prediction map (FPM) to achieve pi... 详细信息
来源: 评论