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Visual grounding seeks to localize the image region corresponding to a free-form text description.
An efficient algorithm for determining the convex hull of a finite planar set
Ronald L. Graham · 1972
Earlier work this paper cites.
Spatial entropy
Michael Batty · 1974
Earlier work this paper cites.
Optimized block-based connected components labeling with decision trees
Costantino Grana, Daniele Borghesani, and Rita Cucchiara · 2010
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Referitgame: Referring to objects in photographs of natural scenes
Sahar Kazemzadeh, Vicente Ordonez, Mark Matten, and Tamara Berg · 2014
Earlier work this paper cites.
Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
Earlier work this paper cites.
Segmentation from natural language expressions
Ronghang Hu, Marcus Rohrbach, and Trevor Darrell · 2016
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Generation and comprehension of unambiguous object descriptions
Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L Yuille, and Kevin Murphy · 2016
Earlier work this paper cites.
Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2016
Earlier work this paper cites.
Modeling context in referring expressions
Licheng Yu, Patrick Poirson, Shan Yang, Alexander C Berg, and Tamara L Berg · 2016
Earlier work this paper cites.
Recurrent multimodal interaction for referring image segmentation
Chenxi Liu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, and Alan Yuille · 2017
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Referring image segmentation via recurrent refinement networks
Ruiyu Li, Kaican Li, Yi-Chun Kuo, Michelle Shu, Xiaojuan Qi, Xiaoyong Shen, and Jiaya Jia · 2018
Earlier work this paper cites.
Key-word-aware network for referring expression image segmentation
Hengcan Shi, Hongliang Li, Fanman Meng, and Qingbo Wu · 2018
Earlier work this paper cites.
What does BERT look at? an analysis of BERT’s attention
Kevin Clark, Urvashi Khandelwal, Omer Levy, and Christopher D. Manning · 2019
Earlier work this paper cites.
Analyzing multi-head self-attention: Specialized heads do the heavy lifting, the rest can be pruned
Elena Voita, David Talbot, Fedor Moiseev, Rico Sennrich, and Ivan Titov · 2019
Earlier work this paper cites.
Ingress: Interactive visual grounding of referring expressions
Mohit Shridhar, Dixant Mittal, and David Hsu · 2020
Earlier work this paper cites.
Grounding ‘grounding’ in NLP
Khyathi Raghavi Chandu, Yonatan Bisk, and Alan W Black · 2021
Earlier work this paper cites.
Ts-cam: Token semantic coupled attention map for weakly supervised object localization
Wei Gao, Fang Wan, Xingjia Pan, Zhiliang Peng, Qi Tian, Zhenjun Han, Bolei Zhou, and Qixiang Ye · 2021
Earlier work this paper cites.
Panoptic narrative grounding
Cristina González, Nicolás Ayobi, Isabela Hernández, José Hernández, Jordi Pont-Tuset, and Pablo Arbeláez · 2021
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Perceiver: General perception with iterative attention
Andrew Jaegle, Felix Gimeno, Andy Brock, Oriol Vinyals, Andrew Zisserman, and Joao Carreira · 2021
Earlier work this paper cites.
Mdetr-modulated detection for end-to-end multi-modal understanding
Aishwarya Kamath, Mannat Singh, Yann LeCun, Gabriel Synnaeve, Ishan Misra, and Nicolas Carion · 2021
Earlier work this paper cites.
Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Earlier work this paper cites.
Localizing objects with self-supervised transformers and no labels
Oriane Siméoni, Gilles Puy, Huy V Vo, Simon Roburin, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Renaud Marlet, and Jean Ponce · 2021
Earlier work this paper cites.
Peekaboo: Text to image diffusion models are zero-shot segmentors
Ryan Burgert, Kanchana Ranasinghe, Xiang Li, and Michael S Ryoo · 2022
Earlier work this paper cites.
Prompt-to-prompt image editing with cross attention control
Amir Hertz, Ron Mokady, Jay Tenenbaum, Kfir Aberman, Yael Pritch, and Daniel Cohen-Or · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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ReCLIP: A strong zero-shot baseline for referring expression comprehension
Sanjay Subramanian, William Merrill, Trevor Darrell, Matt Gardner, Sameer Singh, and Anna Rohrbach · 2022
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What the daam: Interpreting stable diffusion using cross attention
Raphael Tang, Linqing Liu, Akshat Pandey, Zhiying Jiang, Gefei Yang, Karun Kumar, Pontus Stenetorp, Jimmy Lin, and Ferhan Ture · 2022
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Cris: Clip-driven referring image segmentation
Zhaoqing Wang, Yu Lu, Qiang Li, Xunqiang Tao, Yandong Guo, Mingming Gong, and Tongliang Liu · 2022
Ferret: Refer and ground anything anywhere at any granularity
Haoxuan You, Haotian Zhang, Zhe Gan, Xianzhi Du, Bowen Zhang, Zirui Wang, Liangliang Cao, Shih-Fu Chang, and Yinfei Yang · 2023
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Zero-shot referring image segmentation with global-local context features
Seonghoon Yu, Paul Hongsuck Seo, and Jeany Son · 2023
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Unleashing text-to-image diffusion models for visual perception
Wenliang Zhao, Yongming Rao, Zuyan Liu, Benlin Liu, Jie Zhou, and Jiwen Lu · 2023
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Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks
Zhe Chen, Jiannan Wu, Wenhai Wang, Weijie Su, Guo Chen, Sen Xing, Muyan Zhong, Qinglong Zhang, Xizhou Zhu, Lewei Lu, et al · 2024
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Zero-shot referring expression comprehension via structural similarity between images and captions
Zeyu Han, Fangrui Zhu, Qianru Lao, and Huaizu Jiang · 2024
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Lavt: Language-aware vision transformer for referring image segmentation
Zhao Yang, Jiaqi Wang, Yansong Tang, Kai Chen, Hengshuang Zhao, and Philip HS Torr · 2022
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Patch-level representation learning for self-supervised vision transformers
Sukmin Yun, Hankook Lee, Jaehyung Kim, and Jinwoo Shin · 2022
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Segvit: Semantic segmentation with plain vision transformers
Bowen Zhang, Zhi Tian, Quan Tang, Xiangxiang Chu, Xiaolin Wei, Chunhua Shen, et al · 2022
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Seqtr: A simple yet universal network for visual grounding
Chaoyang Zhu, Yiyi Zhou, Yunhang Shen, Gen Luo, Xingjia Pan, Mingbao Lin, Chao Chen, Liujuan Cao, Xiaoshuai Sun, and Rongrong Ji · 2022
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Qwen-vl: A versatile vision-language model for understanding, localization, text reading, and beyond
Jinze Bai, Shuai Bai, Shusheng Yang, Shijie Wang, Sinan Tan, Peng Wang, Junyang Lin, Chang Zhou, and Jingren Zhou · 2023
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Masactrl: Tuning-free mutual self-attention control for consistent image synthesis and editing
Mingdeng Cao, Xintao Wang, Zhongang Qi, Ying Shan, Xiaohu Qie, and Yinqiang Zheng · 2023
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Grec: Generalized referring expression comprehension
Shuting He, Henghui Ding, Chang Liu, and Xudong Jiang · 2023
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Interpreting and editing vision-language representations to mitigate hallucinations
Nick Jiang, Anish Kachinthaya, Suzie Petryk, and Yossi Gandelsman · 2024
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Extending clip’s image-text alignment to referring image segmentation
Seoyeon Kim, Minguk Kang, Dongwon Kim, Jaesik Park, and Suha Kwak · 2024
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The remarkable robustness of llms: Stages of inference?
Vedang Lad, Wes Gurnee, and Max Tegmark · 2024
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Lisa: Reasoning segmentation via large language model
Xin Lai, Zhuotao Tian, Yukang Chen, Yanwei Li, Yuhui Yuan, Shu Liu, and Jiaya Jia · 2024
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Mini-gemini: Mining the potential of multi-modality vision language models
Yanwei Li, Yuechen Zhang, Chengyao Wang, Zhisheng Zhong, Yixin Chen, Ruihang Chu, Shaoteng Liu, and Jiaya Jia · 2024
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Deepseek-vl: towards real-world vision-language understanding
Haoyu Lu, Wen Liu, Bo Zhang, Bingxuan Wang, Kai Dong, Bo Liu, Jingxiang Sun, Tongzheng Ren, Zhuoshu Li, Hao Yang, et al · 2024
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Spatial entropy as an inductive bias for vision transformers
Elia Peruzzo, Enver Sangineto, Yahui Liu, Marco De Nadai, Wei Bi, Bruno Lepri, and Nicu Sebe · 2024
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Glamm: Pixel grounding large multimodal model
Hanoona Rasheed, Muhammad Maaz, Sahal Shaji, Abdelrahman Shaker, Salman Khan, Hisham Cholakkal, Rao M Anwer, Eric Xing, Ming-Hsuan Yang, and Fahad S Khan · 2024
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Groundvlp: Harnessing zero-shot visual grounding from vision-language pre-training and open-vocabulary object detection
Haozhan Shen, Tiancheng Zhao, Mingwei Zhu, and Jianwei Yin · 2024
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Internvl2, 2024
OpenGVLab Team · 2024
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Cambrian-1: A fully open, vision-centric exploration of multimodal llms
Shengbang Tong, Ellis Brown, Penghao Wu, Sanghyun Woo, Manoj Middepogu, Sai Charitha Akula, Jihan Yang, Shusheng Yang, Adithya Iyer, Xichen Pan, et al · 2024
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F-lmm: Grounding frozen large multimodal models
Size Wu, Sheng Jin, Wenwei Zhang, Lumin Xu, Wentao Liu, Wei Li, and Chen Change Loy · 2024
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Gsva: Generalized segmentation via multimodal large language models
Zhuofan Xia, Dongchen Han, Yizeng Han, Xuran Pan, Shiji Song, and Gao Huang · 2024
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Yi: Open foundation models by 01. ai
Alex Young, Bei Chen, Chao Li, Chengen Huang, Ge Zhang, Guanwei Zhang, Heng Li, Jiangcheng Zhu, Jianqun Chen, Jing Chang, et al · 2024
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Psalm: Pixelwise segmentation with large multi-modal model
Zheng Zhang, Yeyao Ma, Enming Zhang, and Xiang Bai · 2024
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Attention heads of large language models: A survey
Zifan Zheng, Yezhaohui Wang, Yuxin Huang, Shichao Song, Bo Tang, Feiyu Xiong, and Zhiyu Li · 2024
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Sclip: Rethinking self-attention for dense vision-language inference
Feng Wang, Jieru Mei, and Alan Yuille · 2025
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