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The success of large language models has inspired the computer vision community to explore image segmentation foundation model that is able to zero/few-shot generalize through prompt engineering.
A simple semi-supervised learning framework for object detection
Kihyuk Sohn, Zizhao Zhang, Chun-Liang Li, Han Zhang, Chen-Yu Lee, and Tomas Pfister · 2005
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Segmentation of unknown objects in indoor environments
Andreas Richtsfeld, Thomas Mörwald, Johann Prankl, Michael Zillich, and Markus Vincze · 2012
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Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus · 2013
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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
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The pascal visual object classes challenge: A retrospective
Mark Everingham, SM Ali Eslami, Luc Van Gool, Christopher KI Williams, John Winn, and Andrew Zisserman · 2015
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Unsupervised domain adaptation by backpropagation
Yaroslav Ganin and Victor Lempitsky · 2015
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Learning transferable features with deep adaptation networks
Mingsheng Long, Yue Cao, Jianmin Wang, and Michael Jordan · 2015
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David Gutman, Noel CF Codella, Emre Celebi, Brian Helba, Michael Marchetti, Nabin Mishra, and Allan Halpern · 2016
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V-net: Fully convolutional neural networks for volumetric medical image segmentation
Fausto Milletari, Nassir Navab, and Seyed-Ahmad Ahmadi · 2016
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Overcoming catastrophic forgetting in neural networks
James Kirkpatrick, Razvan Pascanu, Neil Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, et al · 2017
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
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Adversarial discriminative domain adaptation
Eric Tzeng, Judy Hoffman, Kate Saenko, and Trevor Darrell · 2017
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Animal camouflage analysis: Chameleon database
Przemysław Skurowski, Hassan Abdulameer, J Błaszczyk, Tomasz Depta, Adam Kornacki, and P Kozieł · 2018
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Learning to adapt structured output space for semantic segmentation
Yi-Hsuan Tsai, Wei-Chih Hung, Samuel Schulter, Kihyuk Sohn, Ming-Hsuan Yang, and Manmohan Chandraker · 2018
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Anabranch network for camouflaged object segmentation
Trung-Nghia Le, Tam V Nguyen, Zhongliang Nie, Minh-Triet Tran, and Akihiro Sugimoto · 2019
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Easylabel: A semi-automatic pixel-wise object annotation tool for creating robotic RGB-D datasets
Markus Suchi, Timothy Patten, David Fischinger, and Markus Vincze · 2019
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Weakly supervised adversarial domain adaptation for semantic segmentation in urban scenes
Qi Wang, Junyu Gao, and Xuelong Li · 2019
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Category anchor-guided unsupervised domain adaptation for semantic segmentation
Qiming Zhang, Jing Zhang, Wei Liu, and Dacheng Tao · 2019
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Confidence regularized self-training
Yang Zou, Zhiding Yu, Xiaofeng Liu, BVK Kumar, and Jinsong Wang · 2019
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Pseudo-labeling and confirmation bias in deep semi-supervised learning
Eric Arazo, Diego Ortego, Paul Albert, Noel E O’Connor, and Kevin McGuinness · 2020
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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
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
Cited alongside, same era.
Camouflaged object detection
Deng-Ping Fan, Ge-Peng Ji, Guolei Sun, Ming-Ming Cheng, Jianbing Shen, and Ling Shao · 2020
Cited alongside, same era.
Kvasir-seg: A segmented polyp dataset
Debesh Jha, Pia H Smedsrud, Michael A Riegler, Pål Halvorsen, Thomas de Lange, Dag Johansen, and Håvard D Johansen · 2020
Cited alongside, same era.
Universal source-free domain adaptation
Jogendra Nath Kundu, Naveen Venkat, R Venkatesh Babu, et al · 2020
Cited alongside, same era.
Model adaptation: Unsupervised domain adaptation without source data
Rui Li, Qianfen Jiao, Wenming Cao, Hau-San Wong, and Si Wu · 2020
Cited alongside, same era.
Source-free domain adaptation for image segmentation
Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, and Ismail Ben Ayed · 2022
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Understanding domain randomization for sim-to-real transfer
Xiaoyu Chen, Jiachen Hu, Chi Jin, Lihong Li, and Liwei Wang · 2022
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Denoised maximum classifier discrepancy for source-free unsupervised domain adaptation
Tong Chu, Yahao Liu, Jinhong Deng, Wen Li, and Lixin Duan · 2022
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Visual prompt tuning for test-time domain adaptation
Yunhe Gao, Xingjian Shi, Yi Zhu, Hao Wang, Zhiqiang Tang, Xiong Zhou, Mu Li, and Dimitris N Metaxas · 2022
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Masked autoencoders are scalable vision learners
Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick · 2022
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Do we really need to access the source data? source hypothesis transfer for unsupervised domain adaptation
Jian Liang, Dapeng Hu, and Jiashi Feng · 2020
Cited alongside, same era.
Domain adaptive semantic segmentation using weak labels
Sujoy Paul, Yi-Hsuan Tsai, Samuel Schulter, Amit K Roy-Chowdhury, and Manmohan Chandraker · 2020
Cited alongside, same era.
Unsupervised multi-class domain adaptation: Theory, algorithms, and practice
Yabin Zhang, Bin Deng, Hui Tang, Lei Zhang, and Kui Jia · 2020
Cited alongside, same era.
Domain adaptation without source data
Youngeun Kim, Donghyeon Cho, Kyeongtak Han, Priyadarshini Panda, and Sungeun Hong · 2021
Cited alongside, same era.
Generalize then adapt: Source-free domain adaptive semantic segmentation
Jogendra Nath Kundu, Akshay Kulkarni, Amit Singh, Varun Jampani, and R Venkatesh Babu · 2021
Cited alongside, same era.
Domain impression: A source data free domain adaptation method
Vinod K Kurmi, Venkatesh K Subramanian, and Vinay P Namboodiri · 2021
Cited alongside, same era.
Divergence-agnostic unsupervised domain adaptation by adversarial attacks
Jingjing Li, Zhekai Du, Lei Zhu, Zhengming Ding, Ke Lu, and Heng Tao Shen · 2021
Cited alongside, same era.
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen · 2022
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Bmd: A general class-balanced multicentric dynamic prototype strategy for source-free domain adaptation
Sanqing Qu, Guang Chen, Jing Zhang, Zhijun Li, Wei He, and Dacheng Tao · 2022
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Maohao Shen, Yuheng Bu, and Gregory Wornell · 2022
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Revisiting realistic test-time training: Sequential inference and adaptation by anchored clustering
Yongyi Su, Xun Xu, and Kui Jia · 2022
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Cross-domain contrastive learning for unsupervised domain adaptation
Rui Wang, Zuxuan Wu, Zejia Weng, Jingjing Chen, Guo-Jun Qi, and Yu-Gang Jiang · 2022
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Tianrun Chen, Lanyun Zhu, Chaotao Ding, Runlong Cao, Shangzhan Zhang, Yan Wang, Zejian Li, Lingyun Sun, Papa Mao, and Ying Zang · 2023
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Proxymix: Proxy-based mixup training with label refinery for source-free domain adaptation
Yuhe Ding, Lijun Sheng, Jian Liang, Aihua Zheng, and Ran He · 2023
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Segment anything model (sam) meets glass: Mirror and transparent objects cannot be easily detected
Dongsheng Han, Chaoning Zhang, Yu Qiao, Maryam Qamar, Yuna Jung, SeungKyu Lee, Sung-Ho Bae, and Choong Seon Hong · 2023
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Segment anything
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al · 2023
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Sam-6d: Segment anything model meets zero-shot 6d object pose estimation, 2023
Jiehong Lin, Lihua Liu, Dekun Lu, and Kui Jia · 2023
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Segment anything in medical images
Jun Ma and Bo Wang · 2023
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Dinov2: Learning robust visual features without supervision
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, et al · 2023
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Can sam segment anything? when sam meets camouflaged object detection
Lv Tang, Haoke Xiao, and Bo Li · 2023
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Casting a bait for offline and online source-free domain adaptation
Shiqi Yang, Yaxing Wang, Luis Herranz, Shangling Jui, and Joost van de Weijer · 2023
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Customized segment anything model for medical image segmentation
Kaidong Zhang and Dong Liu · 2023
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Personalize segment anything model with one shot
Renrui Zhang, Zhengkai Jiang, Ziyu Guo, Shilin Yan, Junting Pan, Hao Dong, Peng Gao, and Hongsheng Li · 2023
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Dual memory networks: A versatile adaptation approach for vision-language models
Yabin Zhang, Wenjie Zhu, Hui Tang, Zhiyuan Ma, Kaiyang Zhou, and Lei Zhang · 2024
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