R-CCF: region-aware continual contrastive fusion for weakly supervised object detection

Yongqiang Zhang; Rui Tian; Yin Zhang⋆; Zian Zhang; Yancheng Bai; Mingli Ding; Wangmeng Zuo

doi:10.1007/s10489-024-05403-3

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R-CCF: region-aware continual contrastive fusion for weakly supervised object detection

Yongqiang Zhang Rui Tian Yin Zhang⋆Zian Zhang Yancheng Bai Mingli Ding Wangmeng Zuo

Year: 2024 Journal: Applied Intelligence Vol: 54 (6)Pages: 4689-4712 Publisher: Springer Science+Business Media

DOI: 10.1007/s10489-024-05403-3

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Keywords:

Fusion Artificial intelligence Object (grammar) Computer science Pattern recognition (psychology) Computer vision Natural language processing Linguistics Philosophy

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Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

R-CCF: region-aware continual contrastive fusion for weakly supervised object detection

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