RS2-SAM2: Customized SAM2 for Referring Remote Sensing Image Segmentation

Unsupervised cross-lingual representation learning at scale

Original

Conneau, A. 2019 · 1911

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V-net: Fully convolutional neural networks for volumetric medical image segmentation

Milletari, F.; Navab, N.; and Ahmadi, S.-A. 2016 · 2016

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Referring image segmentation via recurrent refinement networks

Li, R.; Li, K.; Kuo, Y.-C.; Shu, M.; Qi, X.; Shen, X.; and Jia, J. 2018 · 2018

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Decoupled Weight Decay Regularization

Loshchilov, I.; and Hutter, F. 2018 · 2018

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Cross-modal self-attention network for referring image segmentation

Ye, L.; Rochan, M.; Liu, Z.; and Wang, Y. 2019 · 2019

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Bi-directional relationship inferring network for referring image segmentation

Hu, Z.; Feng, G.; Sun, J.; Zhang, L.; and Lu, H. 2020 · 2020

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Referring image segmentation via cross-modal progressive comprehension

Huang, S.; Hui, T.; Liu, S.; Li, G.; Wei, Y.; Han, J.; Liu, L.; and Li, B. 2020 · 2020

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Linguistic structure guided context modeling for referring image segmentation

Hui, T.; Liu, S.; Huang, S.; Li, G.; Yu, S.; Zhang, F.; and Han, J. 2020 · 2020

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Cross-modal progressive comprehension for referring segmentation

Liu, S.; Hui, T.; Huang, S.; Wei, Y.; Li, B.; and Li, G. 2021 · 2021

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Visual grounding in remote sensing images

Sun, Y.; Feng, S.; Li, X.; Ye, Y.; Kang, J.; and Huang, X. 2022 · 2022

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Cris: Clip-driven referring image segmentation

Wang, Z.; Lu, Y.; Li, Q.; Tao, X.; Guo, Y.; Gong, M.; and Liu, T. 2022 · 2022

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Lavt: Language-aware vision transformer for referring image segmentation

Yang, Z.; Wang, J.; Tang, Y.; Chen, K.; Zhao, H.; and Torr, P. H. 2022 · 2022

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Segment and track anything

Original

Cheng, Y.; Li, L.; Xu, Y.; Li, X.; Yang, Z.; Wang, W.; and Yang, Y. 2023 · 2023

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Beyond one-to-one: Rethinking the referring image segmentation

Hu, Y.; Wang, Q.; Shao, W.; Xie, E.; Li, Z.; Han, J.; and Luo, P. 2023 · 2023

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Segment anything

Kirillov, A.; Mintun, E.; Ravi, N.; Mao, H.; Rolland, C.; Gustafson, L.; Xiao, T.; Whitehead, S.; Berg, A. C.; Lo, W.-Y.; et al. 2023 · 2023

Cited alongside, same era.

Learning to learn better for video object segmentation

Lan, M.; Zhang, J.; Zhang, L.; and Tao, D. 2023 · 2023

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Hiera: A hierarchical vision transformer without the bells-and-whistles

Ryali, C.; Hu, Y.-T.; Bolya, D.; Wei, C.; Fan, H.; Huang, P.-Y.; Aggarwal, V.; Chowdhury, A.; Poursaeed, O.; Hoffman, J.; et al. 2023 · 2023

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Image as a foreign language: Beit pretraining for vision and vision-language tasks

Wang, W.; Bao, H.; Dong, L.; Bjorck, J.; Peng, Z.; Liu, Q.; Aggarwal, K.; Mohammed, O. K.; Singhal, S.; Som, S.; et al. 2023 · 2023

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Medical sam adapter: Adapting segment anything model for medical image segmentation

Original

Wu, J.; Ji, W.; Liu, Y.; Fu, H.; Xu, M.; Xu, Y.; and Jin, Y. 2023 · 2023

Cited alongside, same era.

Glamm: Pixel grounding large multimodal model

Rasheed, H.; Maaz, M.; Shaji, S.; Shaker, A.; Khan, S.; Cholakkal, H.; Anwer, R. M.; Xing, E.; Yang, M.-H.; and Khan, F. S. 2024 · 2024

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Sam 2: Segment anything in images and videos

Original

Ravi, N.; Gabeur, V.; Hu, Y.-T.; Hu, R.; Ryali, C.; Ma, T.; Khedr, H.; Rädle, R.; Rolland, C.; Gustafson, L.; et al. 2024 · 2024

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Efficientsam: Leveraged masked image pretraining for efficient segment anything

Xiong, Y.; Varadarajan, B.; Wu, L.; Xiang, X.; Xiao, F.; Zhu, C.; Dai, X.; Wang, D.; Sun, F.; Iandola, F.; et al. 2024 · 2024

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Visa: Reasoning video object segmentation via large language models

Yan, C.; Wang, H.; Yan, S.; Jiang, X.; Hu, Y.; Kang, G.; Xie, W.; and Gavves, E. 2024 · 2024

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A Simple Baseline with Single-encoder for Referring Image Segmentation

Original

Yu, S.; Jung, I.; Han, B.; Kim, T.; Kim, Y.; Wee, D.; and Son, J. 2024 · 2024