Fetching the paper…
Reading the bibliography…
Producing quality segmentation masks for images is a fundamental problem in computer vision.
The hungarian method for the assignment problem
Harold W Kuhn · 1955
Earlier work this paper cites.
A density-based algorithm for discovering clusters in large spatial databases with noise
Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu, et al · 1996
Earlier work this paper cites.
Nltk: The natural language toolkit
Edward Loper and Steven Bird · 2002
Earlier work this paper cites.
K-means++ the advantages of careful seeding
David Arthur and Sergei Vassilvitskii · 2007
Earlier work this paper cites.
Learning deep features for scene recognition using places database
Bolei Zhou, Agata Lapedriza, Jianxiong Xiao, Antonio Torralba, and Aude Oliva · 2014
Earlier work this paper cites.
The cityscapes dataset for semantic urban scene understanding
Marius Cordts, Mohamed Omran, Sebastian Ramos, Timo Rehfeld, Markus Enzweiler, Rodrigo Benenson, Uwe Franke, Stefan Roth, and Bernt Schiele · 2016
Earlier work this paper cites.
Deep clustering for unsupervised learning of visual features
Mathilde Caron, Piotr Bojanowski, Armand Joulin, and Matthijs Douze · 2018
Earlier work this paper cites.
Zero-shot semantic segmentation
Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, and Patrick Pérez · 2019
Earlier work this paper cites.
Rethinking atrous convolution for semantic image segmentation. arxiv 2017
Liang-Chieh Chen, George Papandreou, Florian Schroff, and Hartwig Adam · 2019
Earlier work this paper cites.
Invariant information clustering for unsupervised image classification and segmentation
Xu Ji, Joao F Henriques, and Andrea Vedaldi · 2019
Earlier work this paper cites.
Deepusps: Deep robust unsupervised saliency prediction via self-supervision
Tam Nguyen, Maximilian Dax, Chaithanya Kumar Mummadi, Nhung Ngo, Thi Hoai Phuong Nguyen, Zhongyu Lou, and Thomas Brox · 2019
Earlier work this paper cites.
Moment matching for multi-source domain adaptation
Xingchao Peng, Qinxun Bai, Xide Xia, Zijun Huang, Kate Saenko, and Bo Wang · 2019
Earlier work this paper cites.
Deep multi-modal object detection and semantic segmentation for autonomous driving: Datasets, methods, and challenges
Di Feng, Christian Haase-Schütz, Lars Rosenbaum, Heinz Hertlein, Claudius Glaeser, Fabian Timm, Werner Wiesbeck, and Klaus Dietmayer · 2020
Earlier work this paper cites.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Earlier work this paper cites.
Segdiff: Image segmentation with diffusion probabilistic models
Tomer Amit, Tal Shaharbany, Eliya Nachmani, and Lior Wolf · 2021
Cited alongside, same era.
Label-efficient semantic segmentation with diffusion models
Dmitry Baranchuk, Ivan Rubachev, Andrey Voynov, Valentin Khrulkov, and Artem Babenko · 2021
Cited alongside, same era.
Emerging properties in self-supervised vision transformers
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, and Armand Joulin · 2021
Cited alongside, same era.
Picie: Unsupervised semantic segmentation using invariance and equivariance in clustering
Jang Hyun Cho, Utkarsh Mall, Kavita Bala, and Bharath Hariharan · 2021
Cited alongside, same era.
Editgan: High-precision semantic image editing
Huan Ling, Karsten Kreis, Daiqing Li, Seung Wook Kim, Antonio Torralba, and Sanja Fidler · 2021
Cited alongside, same era.
Laion-5b: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, et al · 2022
Later among the works it cites.
Reco: Retrieve and co-segment for zero-shot transfer
Gyungin Shin, Weidi Xie, and Samuel Albanie · 2022
Later among the works it cites.
Unsupervised semantic segmentation with self-supervised object-centric representations
Andrii Zadaianchuk, Matthaeus Kleindessner, Yi Zhu, Francesco Locatello, and Thomas Brox · 2022
Later among the works it cites.
Extract free dense labels from clip
Chong Zhou, Chen Change Loy, and Bo Dai · 2022
Later among the works it cites.
Network-free, unsupervised semantic segmentation with synthetic images
Qianli Feng, Raghudeep Gadde, Wentong Liao, Eduard Ramon, and Aleix Martinez · 2023
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
A review of deep-learning-based medical image segmentation methods
Xiangbin Liu, Liping Song, Shuai Liu, and Yudong Zhang · 2021
Cited alongside, same era.
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
Cited alongside, same era.
Max-deeplab: End-to-end panoptic segmentation with mask transformers
Huiyu Wang, Yukun Zhu, Hartwig Adam, Alan Yuille, and Liang-Chieh Chen · 2021
Cited alongside, same era.
Segformer: Simple and efficient design for semantic segmentation with transformers
Enze Xie, Wenhai Wang, Zhiding Yu, Anima Anandkumar, Jose M Alvarez, and Ping Luo · 2021
Cited alongside, same era.
Unsupervised semantic segmentation by distilling feature correspondences
Mark Hamilton, Zhoutong Zhang, Bharath Hariharan, Noah Snavely, and William T Freeman · 2022
Cited alongside, same era.
Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation
Junnan Li, Dongxu Li, Caiming Xiong, and Steven Hoi · 2022
Cited alongside, same era.
Image segmentation using text and image prompts
Timo Lüddecke and Alexander Ecker · 2022
Cited alongside, same era.
Eric Hedlin, Gopal Sharma, Shweta Mahajan, Hossam Isack, Abhishek Kar, Andrea Tagliasacchi, and Kwang Moo Yi · 2023
Closest in time.
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
Closest in time.
Your diffusion model is secretly a zero-shot classifier
Alexander C Li, Mihir Prabhudesai, Shivam Duggal, Ellis Brown, and Deepak Pathak · 2023
Closest in time.
Acseg: Adaptive conceptualization for unsupervised semantic segmentation
Kehan Li, Zhennan Wang, Zesen Cheng, Runyi Yu, Yian Zhao, Guoli Song, Chang Liu, Li Yuan, and Jie Chen · 2023
Closest in time.
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 · 2023
Closest in time.
Namedmask: Distilling segmenters from complementary foundation models
Gyungin Shin, Weidi Xie, and Samuel Albanie · 2023
Closest in time.
Weijia Wu, Yuzhong Zhao, Mike Zheng Shou, Hong Zhou, and Chunhua Shen · 2023
Closest in time.
Open-vocabulary panoptic segmentation with text-to-image diffusion models
Jiarui Xu, Sifei Liu, Arash Vahdat, Wonmin Byeon, Xiaolong Wang, and Shalini De Mello · 2023
Closest in time.
A tale of two features: Stable diffusion complements dino for zero-shot semantic correspondence
Junyi Zhang, Charles Herrmann, Junhwa Hur, Luisa Polania Cabrera, Varun Jampani, Deqing Sun, and Ming-Hsuan Yang · 2023
Closest in time.