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Segment Anything Model (SAM) has received remarkable attention as it offers a powerful and versatile solution for object segmentation in images.
Language models are few-shot learners
Brown, T.; Mann, B.; Ryder, N.; Subbiah, M.; Kaplan, J. D.; Dhariwal, P.; Neelakantan, A.; Shyam, P.; Sastry, G.; Askell, A.; et al. 2020 · 1901
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Singular value decomposition (SVD) image coding
Andrews, H.; and Patterson, C. 1976 · 1976
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The pascal visual object classes (voc) challenge
Everingham, M.; Van Gool, L.; Williams, C. K.; Winn, J.; and Zisserman, A. 2010 · 2010
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Efficiently enclosing the compact binary parameter space by singular-value decomposition
Cannon, K.; Hanna, C.; and Keppel, D. 2011 · 2011
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Intrinsic dimensionality explains the effectiveness of language model fine-tuning
Aghajanyan, A.; Zettlemoyer, L.; and Gupta, S. 2020 · 2012
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Multi-class geospatial object detection and geographic image classification based on collection of part detectors
Cheng, G.; Han, J.; Zhou, P.; and Guo, L. 2014 · 2014
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Adam: A method for stochastic optimization
Kingma, D. P.; and Ba, J. 2014 · 2014
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Microsoft coco: Common objects in context
Lin, T.-Y.; Maire, M.; Belongie, S.; Hays, J.; Perona, P.; Ramanan, D.; Dollár, P.; and Zitnick, C. L. 2014 · 2014
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A survey on object detection in optical remote sensing images
Cheng, G.; and Han, J. 2016 · 2016
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Learning rotation-invariant convolutional neural networks for object detection in VHR optical remote sensing images
Cheng, G.; Zhou, P.; and Han, J. 2016 · 2016
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Focal loss for dense object detection
Lin, T.-Y.; Goyal, P.; Girshick, R.; He, K.; and Dollár, P. 2017 · 2017
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Fully convolutional networks for multisource building extraction from an open aerial and satellite imagery data set
Ji, S.; Wei, S.; and Lu, M. 2018 · 2018
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Parameter-efficient transfer learning for NLP
Houlsby, N.; Giurgiu, A.; Jastrzebski, S.; Morrone, B.; De Laroussilhe, Q.; Gesmundo, A.; Attariyan, M.; and Gelly, S. 2019 · 2019
Cited alongside, same era.
On the opportunities and risks of foundation models
Bommasani, R.; Hudson, D. A.; Adeli, E.; Altman, R.; Arora, S.; von Arx, S.; Bernstein, M. S.; Bohg, J.; Bosselut, A.; Brunskill, E.; et al. 2021 · 2021
Cited alongside, same era.
Parameter Efficient Neural Networks With Singular Value Decomposed Kernels
Mijnsbrugge, D. V.; Ongenae, F.; and Van Hoecke, S. 2021 · 2021
Cited alongside, same era.
Shapeshifter: a parameter-efficient transformer using factorized reshaped matrices
Panahi, A.; Saeedi, S.; and Arodz, T. 2021 · 2021
Cited alongside, same era.
SAR ship detection dataset (SSDD): Official release and comprehensive data analysis
Zhang, T.; Zhang, X.; Li, J.; Xu, X.; Wang, B.; Zhan, X.; Xu, Y.; Ke, X.; Zeng, T.; Su, H.; et al. 2021 · 2021
Cited alongside, same era.
Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity
Dutt, R.; Ericsson, L.; Sanchez, P.; Tsaftaris, S. A.; and Hospedales, T. 2023 · 2023
Closest in time.
Badsam: Exploring security vulnerabilities of sam via backdoor attacks
Guan, Z.; Hu, M.; Zhou, Z.; Zhang, J.; Li, S.; and Liu, N. 2023 · 2023
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Svdiff: Compact parameter space for diffusion fine-tuning
Han, L.; Li, Y.; Zhang, H.; Milanfar, P.; Metaxas, D.; and Yang, F. 2023 · 2023
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SAM Struggles in Concealed Scenes–Empirical Study on” Segment Anything”
Ji, G.-P.; Fan, D.-P.; Xu, P.; Cheng, M.-M.; Zhou, B.; and Van Gool, L. 2023 · 2023
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Fact: Factor-tuning for lightweight adaptation on vision transformer
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LoRA: Low-Rank Adaptation of Large Language Models
Hu, E. J.; Shen, Y.; Wallis, P.; Allen-Zhu, Z.; Li, Y.; Wang, S.; Wang, L.; and Chen, W. 2022 · 2022
Cited alongside, same era.
Fourier neural operator for parametric partial differential equations
Li, Z.; Kovachki, N.; Azizzadenesheli, K.; Liu, B.; Bhattacharya, K.; Stuart, A.; and Anandkumar, A. 2022 · 2022
Cited alongside, same era.
AbdomenCT-1K: Is Abdominal Organ Segmentation a Solved Problem?
Ma, J.; Zhang, Y.; Gu, S.; Zhu, C.; Ge, C.; Zhang, Y.; An, X.; Wang, C.; Wang, Q.; Liu, X.; Cao, S.; Zhang, Q.; Liu, S.; Wang, Y.; Li, Y.; He, J.; and Yang, X. 2022 · 2022
Cited alongside, same era.
Singular value fine-tuning: Few-shot segmentation requires few-parameters fine-tuning
Sun, Y.; Chen, Q.; He, X.; Wang, J.; Feng, H.; Han, J.; Ding, E.; Cheng, J.; Li, Z.; and Wang, J. 2022 · 2022
Cited alongside, same era.
High-dimensional vector autoregressive time series modeling via tensor decomposition
Wang, D.; Zheng, Y.; Lian, H.; and Li, G. 2022 · 2022
Cited alongside, same era.
HFA-Net: High frequency attention siamese network for building change detection in VHR remote sensing images
Zheng, H.; Gong, M.; Liu, T.; Jiang, F.; Zhan, T.; Lu, D.; and Zhang, M. 2022 · 2022
Cited alongside, same era.
Chen, T.; Zhu, L.; Ding, C.; Cao, R.; Zhang, S.; Wang, Y.; Li, Z.; Sun, L.; Mao, P.; and Zang, Y. 2023 · 2023
Cited alongside, same era.
Jie, S.; and Deng, Z.-H. 2023 · 2023
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Kirillov, A.; Mintun, E.; Ravi, N.; Mao, H.; Rolland, C.; Gustafson, L.; Xiao, T.; Whitehead, S.; Berg, A. C.; Lo, W.-Y.; Dollár, P.; and Girshick, R. 2023 · 2023
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Polyp-sam: Transfer sam for polyp segmentation
Li, Y.; Hu, M.; and Yang, X. 2023 · 2023
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Segment anything in medical images
Ma, J.; and Wang, B. 2023 · 2023
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Medical sam adapter: Adapting segment anything model for medical image segmentation
Wu, J.; Fu, R.; Fang, H.; Liu, Y.; Wang, Z.; Xu, Y.; Jin, Y.; and Arbel, T. 2023 · 2023
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Customized segment anything model for medical image segmentation
Zhang, K.; and Liu, D. 2023 · 2023
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How Segment Anything Model (SAM) Boost Medical Image Segmentation?
Zhang, Y.; and Jiao, R. 2023 · 2023
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Segment everything everywhere all at once
Zou, X.; Yang, J.; Zhang, H.; Li, F.; Li, L.; Gao, J.; and Lee, Y. J. 2023 · 2023
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