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awesome-visual-grounding

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[TPAMI 2025] Towards Visual Grounding: A Survey

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🔥 Add Your Paper in our Repo and Survey!🔥 New1.1 Fully Supervised Setting1.2 Weakly Supervised Setting1.3 Semi-supervised Setting1.4 Unsupervised Setting1.5 Zero-shot Setting1.6 Multi-task Setting1.7 Generalized Visual Grounding2.1 NLP Language Structure Parsing in Visual Grounding2.2 Spatial Relation and Graph Networks2.3 Modular Grounding3.1 Grounded Object Detection3.2 Referring Counting3.3 Remote Sensing Visual Grounding3.4 Medical Visual Grounding3.5 3D Visual Grounding3.6 Video Object Grounding3.7 Robotic and Multimodal Agent Applications3.8 Multi-image Grounding4.1 The Five Datasets for Classical Visual Grounding4.2 The Other Datasets for Classical Visual Grounding4.3 Dataset for the Newly Curated Scenarios

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1.6 Multi-task Setting

  • 2006A. REC with REG Multi-task Setting

    INLGC

  • 2010A. REC with REG Multi-task Setting

    ACL

  • 2012A. REC with REG Multi-task Setting

    CL

  • 2013A. REC with REG Multi-task Setting

    NAACL

  • 2016C. Other Multi-task Setting

    EMNLP

  • 2017A. REC with REG Multi-task Setting

    CVPR

2.1 NLP Language Structure Parsing in Visual Grounding

4.1 The Five Datasets for Classical Visual Grounding

4.2 The Other Datasets for Classical Visual Grounding

1.1 Fully Supervised Setting

  • 2014A. Traditional CNN-based Methods

    EMNLP

  • 2015A. Traditional CNN-based Methods

    CVPR

  • 2016A. Traditional CNN-based Methods

    CVPR

  • 2016A. Traditional CNN-based Methods

    CVPR

  • 2016A. Traditional CNN-based Methods

    ECCV

  • 2018A. Traditional CNN-based Methods

    CVPR

1.2 Weakly Supervised Setting

2.3 Modular Grounding

3.4 Medical Visual Grounding

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