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In this work, we present SEEM, a promptable and interactive model for segmenting everything everywhere all at once in an image, as shown in Fig.1.
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A benchmark dataset and evaluation methodology for video object segmentation
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Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
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Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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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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Rethinking atrous convolution for semantic image segmentation
Liang-Chieh Chen, George Papandreou, Florian Schroff, and Hartwig Adam · 2017
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Attention is all you need
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The 2017 davis challenge on video object segmentation
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A generative appearance model for end-to-end video object segmentation, 2018
Joakim Johnander, Martin Danelljan, Emil Brissman, Fahad Shahbaz Khan, and Michael Felsberg · 2018
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Youtube-vos: A large-scale video object segmentation benchmark
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Luowei Zhou, Chenliang Xu, and Jason Corso · 2018
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Panoptic segmentation
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Cross-modal self-attention network for referring image segmentation
Linwei Ye, Mrigank Rochan, Zhi Liu, and Yang Wang · 2019
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Object detection in 20 years: A survey
Zhengxia Zou, Zhenwei Shi, Yuhong Guo, and Jieping Ye · 2019
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Yolact: Real-time instance segmentation
Daniel Bolya, Chong Zhou, Fanyi Xiao, and Yong Jae Lee · 2019
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Agss-vos: Attention guided single-shot video object segmentation
Huaijia Lin, Xiaojuan Qi, and Jiaya Jia · 2019
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Fast online object tracking and segmentation: A unifying approach
Qiang Wang, Li Zhang, Luca Bertinetto, Weiming Hu, and Philip HS Torr · 2019
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Language models are few-shot learners
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu · 2020
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Autoprompt: Eliciting knowledge from language models with automatically generated prompts
Taylor Shin, Yasaman Razeghi, Robert L Logan IV, Eric Wallace, and Sameer Singh · 2020
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End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
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Max-deeplab: End-to-end panoptic segmentation with mask transformers
Huiyu Wang, Yukun Zhu, Hartwig Adam, Alan Yuille, and Liang-Chieh Chen · 2021
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Unified-io: A unified model for vision, language, and multi-modal tasks
Jiasen Lu, Christopher Clark, Rowan Zellers, Roozbeh Mottaghi, and Aniruddha Kembhavi · 2022
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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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Pseudoclick: Interactive image segmentation with click imitation
Qin Liu, Meng Zheng, Benjamin Planche, Srikrishna Karanam, Terrence Chen, Marc Niethammer, and Ziyan Wu · 2022
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UViM: A unified modeling approach for vision with learned guiding codes
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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
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Open-vocabulary image segmentation
Golnaz Ghiasi, Xiuye Gu, Yin Cui, and Tsung-Yi Lin · 2021
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Reviving iterative training with mask guidance for interactive segmentation, 2021
Konstantin Sofiiuk, Ilia A. Petrov, and Anton Konushin · 2021
Cited alongside, same era.
Modular interactive video object segmentation: Interaction-to-mask, propagation and difference-aware fusion
Ho Kei Cheng, Yu-Wing Tai, and Chi-Keung Tang · 2021
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Calibrate before use: Improving few-shot performance of language models
Zihao Zhao, Eric Wallace, Shi Feng, Dan Klein, and Sameer Singh · 2021
Cited alongside, same era.
Prefix-tuning: Optimizing continuous prompts for generation
Xiang Lisa Li and Percy Liang · 2021
Cited alongside, same era.
Image segmentation using deep learning: A survey
Shervin Minaee, Yuri Y Boykov, Fatih Porikli, Antonio J Plaza, Nasser Kehtarnavaz, and Demetri Terzopoulos · 2021
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Ting Chen, Saurabh Saxena, Lala Li, Tsung-Yi Lin, David J Fleet, and Geoffrey Hinton · 2022
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Jianwei Yang, Chunyuan Li, and Jianfeng Gao · 2022
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Davit: Dual attention vision transformers
Mingyu Ding, Bin Xiao, Noel Codella, Ping Luo, Jingdong Wang, and Lu Yuan · 2022
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Unified contrastive learning in image-text-label space
Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Bin Xiao, Ce Liu, Lu Yuan, and Jianfeng Gao · 2022
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Focuscut: Diving into a focus view in interactive segmentation
Zheng Lin, Zheng-Peng Duan, Zhao Zhang, Chun-Le Guo, and Ming-Ming Cheng · 2022
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Swem: Towards real-time video object segmentation with sequential weighted expectation-maximization
Zhihui Lin, Tianyu Yang, Maomao Li, Ziyu Wang, Chun Yuan, Wenhao Jiang, and Wei Liu · 2022
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XMem: Long-term video object segmentation with an atkinson-shiffrin memory model
Ho Kei Cheng and Alexander G. Schwing · 2022
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Language as queries for referring video object segmentation
Jiannan Wu, Yi Jiang, Peize Sun, Zehuan Yuan, and Ping Luo · 2022
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Side adapter network for open-vocabulary semantic segmentation
Mengde Xu, Zheng Zhang, Fangyun Wei, Han Hu, and Xiang Bai · 2023
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Polyformer: Referring image segmentation as sequential polygon generation
Jiang Liu, Hui Ding, Zhaowei Cai, Yuting Zhang, Ravi Kumar Satzoda, Vijay Mahadevan, and R Manmatha · 2023
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Gpt-4 technical report, 2023
OpenAI · 2023
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Toolformer: Language models can teach themselves to use tools
Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, and Thomas Scialom · 2023
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A simple framework for open-vocabulary segmentation and detection
Hao Zhang, Feng Li, Xueyan Zou, Shilong Liu, Chunyuan Li, Jianfeng Gao, Jianwei Yang, and Lei Zhang · 2023
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Segment anything, 2023
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollár, and Ross Girshick · 2023
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Mp-former: Mask-piloted transformer for image segmentation
Hao Zhang, Feng Li, Huaizhe Xu, Shijia Huang, Shilong Liu, Lionel M Ni, and Lei Zhang · 2023
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Universal instance perception as object discovery and retrieval
Bin Yan, Yi Jiang, Jiannan Wu, Dong Wang, Ping Luo, Zehuan Yuan, and Huchuan Lu · 2023
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Seggpt: Segmenting everything in context
Xinlong Wang, Xiaosong Zhang, Yue Cao, Wen Wang, Chunhua Shen, and Tiejun Huang · 2023
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Images speak in images: A generalist painter for in-context visual learning, 2023
Xinlong Wang, Wen Wang, Yue Cao, Chunhua Shen, and Tiejun Huang · 2023
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Track anything: Segment anything meets videos, 2023
Jinyu Yang, Mingqi Gao, Zhe Li, Shang Gao, Fangjing Wang, and Feng Zheng · 2023
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Personalize segment anything model with one shot, 2023
Renrui Zhang, Zhengkai Jiang, Ziyu Guo, Shilin Yan, Junting Pan, Hao Dong, Peng Gao, and Hongsheng Li · 2023
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