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Unsupervised semantic segmentation aims to achieve high-quality semantic grouping without human-labeled annotations.
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Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Scribblesup: Scribble-supervised convolutional networks for semantic segmentation
Di Lin, Jifeng Dai, Jiaya Jia, Kaiming He, and Jian Sun · 2016
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Rethinking atrous convolution for semantic image segmentation
Liang-Chieh Chen, George Papandreou, Florian Schroff, and Hartwig Adam · 2017
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Simple does it: Weakly supervised instance and semantic segmentation
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Counterfactual zero-shot and open-set visual recognition
Zhongqi Yue, Tan Wang, Qianru Sun, Xian-Sheng Hua, and Hanwang Zhang · 2021
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Looking beyond single images for contrastive semantic segmentation learning
Feihu Zhang, Philip Torr, René Ranftl, and Stephan Richter · 2021
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Masked siamese networks for label-efficient learning
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BEit: BERT pre-training of image transformers
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Unsupervised semantic segmentation by distilling feature correspondences
Mark Hamilton, Zhoutong Zhang, Bharath Hariharan, Noah Snavely, and William T. Freeman · 2022
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Masked autoencoders are scalable vision learners
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Xu Ji, Joao F Henriques, and Andrea Vedaldi · 2019
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Panoptic feature pyramid networks
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Deepusps: Deep robust unsupervised saliency prediction via self-supervision
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Towards causal vqa: Revealing and reducing spurious correlations by invariant and covariant semantic editing
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An image is worth 16x16 words: Transformers for image recognition at scale
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Bootstrap your own latent-a new approach to self-supervised learning
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Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, and Ross Girshick · 2022
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Segdiscover: Visual concept discovery via unsupervised semantic segmentation
Haiyang Huang, Zhi Chen, and Cynthia Rudin · 2022
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Unsupervised hierarchical semantic segmentation with multiview cosegmentation and clustering transformers
Tsung-Wei Ke, Jyh-Jing Hwang, Yunhui Guo, Xudong Wang, and Stella X Yu · 2022
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Show, deconfound and tell: Image captioning with causal inference
Bing Liu, Dong Wang, Xu Yang, Yong Zhou, Rui Yao, Zhiwen Shao, and Jiaqi Zhao · 2022
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Causality inspired representation learning for domain generalization
Fangrui Lv, Jian Liang, Shuang Li, Bin Zang, Chi Harold Liu, Ziteng Wang, and Di Liu · 2022
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Deep spectral methods: A surprisingly strong baseline for unsupervised semantic segmentation and localization
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Reco: Retrieve and co-segment for zero-shot transfer
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Discovering object masks with transformers for unsupervised semantic segmentation
Wouter Van Gansbeke, Simon Vandenhende, and Luc Van Gool · 2022
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Out-of-distribution generalization with causal invariant transformations
Ruoyu Wang, Mingyang Yi, Zhitang Chen, and Shengyu Zhu · 2022
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Self-supervised visual representation learning with semantic grouping
Xin Wen, Bingchen Zhao, Anlin Zheng, Xiangyu Zhang, and XIAOJUAN QI · 2022
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Transfgu: a top-down approach to fine-grained unsupervised semantic segmentation
Zhaoyuan Yin, Pichao Wang, Fan Wang, Xianzhe Xu, Hanling Zhang, Hao Li, and Rong Jin · 2022
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Image BERT pre-training with online tokenizer
Jinghao Zhou, Chen Wei, Huiyu Wang, Wei Shen, Cihang Xie, Alan Yuille, and Tao Kong · 2022
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Self-supervised learning of object parts for semantic segmentation
Adrian Ziegler and Yuki M Asano · 2022
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Uncovering the inner workings of stego for safe unsupervised semantic segmentation
Alexander Koenig, Maximilian Schambach, and Johannes Otterbach · 2023
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Mitigating adversarial vulnerability through causal parameter estimation by adversarial double machine learning
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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
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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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Bridging the gap to real-world object-centric learning
Maximilian Seitzer, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun Xiao, Carl-Johann Simon-Gabriel, Tong He, Zheng Zhang, Bernhard Schölkopf, Thomas Brox, and Francesco Locatello · 2023
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Leveraging hidden positives for unsupervised semantic segmentation
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Unsupervised semantic segmentation with self-supervised object-centric representations
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