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The recent work known as Segment Anything (SA) has made significant strides in pushing the boundaries of semantic segmentation into the era of foundation models.
Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling · 2017
Earlier work this paper cites.
Inductive representation learning on large graphs
Will Hamilton, Zhitao Ying, and Jure Leskovec · 2017
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
Earlier work this paper cites.
Learning to segment every thing
Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, and Ross Girshick · 2018
Earlier work this paper cites.
Graph neural networks: A review of methods and applications
Jie Zhou, Ganqu Cui, Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, and Maosong Sun · 2018
Earlier work this paper cites.
Spatial temporal graph convolutional networks for skeleton-based action recognition
Sijie Yan, Yuanjun Xiong, and Dahua Lin · 2018
Earlier work this paper cites.
Graphgan: Graph representation learning with generative adversarial nets
Hongwei Wang, Jia Wang, Jialin Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Xing Xie, and Minyi Guo · 2018
Earlier work this paper cites.
Adaptive sampling towards fast graph representation learning
Wenbing Huang, Tong Zhang, Yu Rong, and Junzhou Huang · 2018
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Graph attention networks
Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio, and Yoshua Bengio · 2018
Earlier work this paper cites.
Towards segmenting anything that moves
Achal Dave, Pavel Tokmakov, and Deva Ramanan · 2019
Earlier work this paper cites.
Disentangled graph convolutional networks
Jianxin Ma, Peng Cui, Kun Kuang, Xin Wang, and Wenwu Zhu · 2019
Earlier work this paper cites.
Spagan: Shortest path graph attention network
Yiding Yang, Xinchao Wang, Mingli Song, Junsong Yuan, and Dacheng Tao · 2019
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Revisiting graph neural networks: All we have is low-pass filters
Hoang NT and Takanori Maehara · 2019
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
Earlier work this paper cites.
A comprehensive survey on graph neural networks
Zonghan Wu, Shirui Pan, Fengwen Chen, Guodong Long, Chengqi Zhang, and S Yu Philip · 2020
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Benchmarking graph neural networks
Vijay Prakash Dwivedi, Chaitanya K Joshi, Thomas Laurent, Yoshua Bengio, and Xavier Bresson · 2020
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Pairnorm: Tackling oversmoothing in gnns
Lingxiao Zhao and Leman Akoglu · 2020
Earlier work this paper cites.
Dropedge: Towards deep graph convolutional networks on node classification
Yu Rong, Wenbing Huang, Tingyang Xu, and Junzhou Huang · 2020
Earlier work this paper cites.
Open graph benchmark: Datasets for machine learning on graphs
Weihua Hu, Matthias Fey, Marinka Zitnik, Yuxiao Dong, Hongyu Ren, Bowen Liu, Michele Catasta, and Jure Leskovec · 2020
Earlier work this paper cites.
On the opportunities and risks of foundation models
Rishi Bommasani, Drew A Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, et al · 2021
Earlier work this paper cites.
Zero-shot text-to-image generation
Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, and Ilya Sutskever · 2021
Cited alongside, same era.
Exploring visual prompts for adapting large-scale models
Hyojin Bahng, Ali Jahanian, Swami Sankaranarayanan, and Phillip Isola · 2022
Cited alongside, same era.
Visual prompting via image inpainting
Amir Bar, Yossi Gandelsman, Trevor Darrell, Amir Globerson, and Alexei Efros · 2022
Cited alongside, same era.
Open-vocabulary semantic segmentation with mask-adapted clip
Feng Liang, Bichen Wu, Xiaoliang Dai, Kunpeng Li, Yinan Zhao, Hang Zhang, Peizhao Zhang, Peter Vajda, and Diana Marculescu · 2022
Cited alongside, same era.
Pose for everything: Towards category-agnostic pose estimation
Lumin Xu, Sheng Jin, Wang Zeng, Wentao Liu, Chen Qian, Wanli Ouyang, Ping Luo, and Xiaogang Wang · 2022
Cited alongside, same era.
Awesome segment anything
Ting Jiang · 2023
Closest in time.
Awesome-segment-anything-extensions
Xiaohao Xu · 2023
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Grounded-segment-anything
IDEA-Research · 2023
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Groundedsam-zero-shot-anomaly-detection
Yunkang Cao · 2023
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Image editing anything
Zhengcong Fei · 2023
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Prompt-segment-anything
Rockey · 2023
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Sam-rbox
Qingyun Li · 2023
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Open-vocabulary-segment-anything
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Learning graph neural networks for image style transfer
Yongcheng Jing, Yining Mao, Yiding Yang, Yibing Zhan, Mingli Song, Xinchao Wang, and Dacheng Tao · 2022
Cited alongside, same era.
Introducing chatgpt
OpenAI · 2023
Cited alongside, same era.
A comprehensive survey on pretrained foundation models: A history from bert to chatgpt
Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, et al · 2023
Cited alongside, same era.
Dinov2: Learning robust visual features without supervision
Maxime Oquab, Timothée Darcet, Theo Moutakanni, Huy Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Russell Howes, Po-Yao Huang, Hu Xu, Vasu Sharma, Shang-Wen Li, Wojciech Galuba, Mike Rabbat, Mido Assran, Nicolas Ballas, Gabriel Synnaeve, Ishan Misra, Herve Jegou, Julien Mairal, Patrick Labatut, Armand Joulin, and Piotr Bojanowski · 2023
Cited alongside, same era.
Inpaint anything: Segment anything meets image inpainting
Tao Yu, Runseng Feng, Ruoyu Feng, Jinming Liu, Xin Jin, Wenjun Zeng, and Zhibo Chen · 2023
Cited alongside, same era.
Semantic segment anything
Jiaqi Chen, Zeyu Yang, and Li Zhang · 2023
Cited alongside, same era.
Segment and track anything
Yuanyou Xu, Yangming Cheng, Liulei Li, Zongxin Yang, Wenguang Wang, and Yi Yang · 2023
Cited alongside, same era.
Nguyen Thanh Tin · 2023
Closest in time.
Segdrawer
Lujia Zho · 2023
Closest in time.
Segment anything eo tools
Aliaksandr Hancharenka · 2023
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Anylabeling
Nguyen Viet-Anh · 2023
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Sam medical imaging
Mokhtari Mohammed El Amine · 2023
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Lime-sam
Jaydeep_Dedaniya · 2023
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Sam + mmdetection
Yanyi Liu · 2023
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Track-anything
Mingqi Gao · 2023
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Towards segmenting anything that moves (segment-any-moving)
Achal Dave · 2023
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Taskmatrix. ai: Completing tasks by connecting foundation models with millions of apis
Yaobo Liang, Chenfei Wu, Ting Song, Wenshan Wu, Yan Xia, Yu Liu, Yang Ou, Shuai Lu, Lei Ji, Shaoguang Mao, et al · 2023
Closest in time.
A survey on oversmoothing in graph neural networks
T Konstantin Rusch, Michael M Bronstein, and Siddhartha Mishra · 2023
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Deep graph reprogramming
Yongcheng Jing, Chongbin Yuan, Li Ju, Yiding Yang, Xinchao Wang, and Dacheng Tao · 2023
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