[47] Xiaokang Chen, Yuhui Yuan, Gang Zeng, and Jingdong Wang. Semi-supervised semantic segmentation with cross pseudo supervision. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 2613-2622, 2021.
[48] Yuchao Wang, Haochen Wang, Yujun Shen, Jingjing Fei, Wei Li, Guoqiang Jin, Liwei Wu, Rui Zhao, and Xinyi Le. Semi-supervised semantic segmentation using unreliable pseudo-labels. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 4248-4257, 2022.
[49] Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, and Yang Gao. St++: Make self-training work better for semi-supervised semantic segmentation. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 4268-4277, 2022.
[50] Hanzhe Hu, Fangyun Wei, Han Hu, Qiwei Ye, Jinshi Cui, and Liwei Wang. Semi-supervised semantic segmentation via adaptive equalization learning. Advances in Neural Information Processing Systems, 34:22106-22118, 2021.
[51] Xiangde Luo, Minhao Hu, Tao Song, Guotai Wang, and Shaoting Zhang. Semi-supervised medical image segmentation via cross teaching between cnn and transformer. In International Conference on Medical Imaging with Deep Learning, pages 820-833. PMLR, 2022.
[52] Wei Shen, Zelin Peng, Xuehui Wang, Huayu Wang, Jiazhong Cen, Dongsheng Jiang, Lingxi Xie, Xiaokang Yang, and Q Tian. A survey on label-efficient deep image segmentation: Bridging the gap between weak supervision and dense prediction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(8):9284-9305, 2023.
[53] Yassine Ouali, Céline Hudelot, and Myriam Tami. Semi-supervised semantic segmentation with cross-consistency training. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 12674-12684, 2020.
[54] Runnan Chen, Yuexin Ma, Lingjie Liu, Nenglun Chen, Zhiming Cui, Guodong Wei, and Wenping Wang. Semi-supervised anatomical landmark detection via shape-regulated self-training. Neurocomputing, 471:335-345, 2022.
[55] Yuhang Lu, Qi Jiang, Runnan Chen, Yuenan Hou, Xinge Zhu, and Yuexin Ma. See more and know more: Zero-shot point cloud segmentation via multi-modal visual data. In IEEE/CVF International Conference on Computer Vision, pages 21674-21684, 2023.
[56] Songyou Peng, Kyle Genova, Chiyu Jiang, Andrea Tagliasacchi, Marc Pollefeys, Thomas Funkhouser, et al. Openscene: 3d scene understanding with open vocabularies. arXiv preprint arXiv:2211.15654, 2022.
[57] Runyu Ding, Jihan Yang, Chuhui Xue, Wenqing Zhang, Song Bai, and Xiaojuan Qi. Language-driven open-vocabulary 3d scene understanding. arXiv preprint arXiv:2211.16312, 2022.
[58] Luigi Riz, Cristiano Saltori, Elisa Ricci, and Fabio Poiesi. Novel class discovery for 3d point cloud semantic segmentation. arXiv preprint arXiv:2303.11610, 2023.
[59] Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Han Hu, and Xiang Bai. A simple baseline for zero-shot semantic segmentation with pre-trained vision-language model. arXiv preprint arXiv:2112.14757, 2021.
[60] Boyi Li, Kilian Q Weinberger, Serge Belongie, Vladlen Koltun, and Rene Ranftl. Language-driven semantic segmentation. In International Conference on Learning Representations, 2022.
[61] Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, and Patrick Pérez. Zero-shot semantic segmentation. Advances in Neural Information Processing Systems, 32, 2019.
[62] Peike Li, Yunchao Wei, and Yi Yang. Consistent structural relation learning for zero-shot segmentation. Advances in Neural Information Processing Systems, 33:10317-10327, 2020.
[63] Ping Hu, Stan Sclaroff, and Kate Saenko. Uncertainty-aware learning for zero-shot semantic segmentation. Advances in Neural Information Processing Systems, 33:21713-21724, 2020.
[64] Hui Zhang and Henghui Ding. Prototypical matching and open set rejection for zero-shot semantic segmentation. In IEEE/CVF International Conference on Computer Vision, pages 6974-6983, 2021.
[65] Xu Yan, Jiantao Gao, Chaoda Zheng, Chaoda Zheng, Ruimao Zhang, Shenghui Cui, and Zhen Li. 2dpass: 2d priors assisted semantic segmentation on lidar point clouds. In European Conference on Computer Vision, pages 677-695, 2022.