[14] Kai Chen, Jiangmiao Pang, Jiaqi Wang, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jianping Shi, Wanli Ouyang, et al. Hybrid task cascade for instance segmentation. In CVPR, 2019.
[15] Liang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroff, and Hartwig Adam. Encoder-decoder with atrous separable convolution for semantic image segmentation. In ECCV, 2018.
[16] Bowen Cheng, Maxwell D Collins, Yukun Zhu, Ting Liu, Thomas S Huang, Hartwig Adam, and Liang-Chieh Chen. Panoptic-deeplab: A simple, strong, and fast baseline for bottom-up panoptic segmentation. In CVPR, 2020.
[17] Bowen Cheng, Ishan Misra, Alexander G Schwing, Alexander Kirillov, and Rohit Girdhar. Masked-attention mask transformer for universal image segmentation. In CVPR, 2022.
[18] Tianheng Cheng, Xinggang Wang, Shaoyu Chen, Wenqiang Zhang, Qian Zhang, Chang Huang, Zhaoxiang Zhang, and Wenyu Liu. Sparse instance activation for real-time instance segmentation. In CVPR, 2022.
[19] Yiming Cui. Feature aggregated queries for transformer-based video object detectors. In CVPR, 2023.
[20] Yiming Cui, Liqi Yan, Zhiwen Cao, and Dongfang Liu. Tf-blender: Temporal feature blender for video object detection. In ICCV, 2021.
[21] Yiming Cui, Linjie Yang, and Haichao Yu. Learning dynamic query combinations for transformer-based object detection and segmentation. ICML, 2023.
[22] Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, et al. Scaling vision transformers to 22 billion parameters. arXiv preprint arXiv:2302.05442, 2023.
[23] Bin Dong, Fangao Zeng, Tiancai Wang, Xiangyu Zhang, and Yichen Wei. Solq: Segmenting objects by learning queries. In NeurIPS, 2021.
[24] Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al. An image is worth 16x16 words: Transformers for image recognition at scale. ICLR, 2021.
[25] Jiemin Fang, Lingxi Xie, Xinggang Wang, Xiaopeng Zhang, Wenyu Liu, and Qi Tian. Msg-transformer: Exchanging local spatial information by manipulating messenger tokens. In CVPR, 2022.
[26] Yuxin Fang, Shusheng Yang, Xinggang Wang, Yu Li, Chen Fang, Ying Shan, Bin Feng, and Wenyu Liu. Instances as queries. In ICCV, 2021.
[27] David J Field, Anthony Hayes, and Robert F Hess. Contour integration by the human visual system: evidence for a local "association field". Vision research, 33(2):173-193, 1993.
[28] Hichem Frigui and Raghu Krishnapuram. A robust competitive clustering algorithm with applications in computer vision. IEEE TPAMI, 21(5):450-465, 1999.
[29] Yoram Gdalyahu, Daphna Weinshall, and Michael Werman. Self-organization in vision: stochastic clustering for image segmentation, perceptual grouping, and image database organization. IEEE TPAMI, 23(10):1053–1074, 2001.
[30] Anmol Gulati, James Qin, Chung-Cheng Chiu, Niki Parmar, Yu Zhang, Jiahui Yu, Wei Han, Shibo Wang, Zhengdong Zhang, Yonghui Wu, et al. Conformer: Convolution-augmented transformer for speech recognition. arXiv preprint arXiv:2005.08100, 2020.
[31] Kai Han, Yunhe Wang, Jianyuan Guo, Yehui Tang, and Enhua Wu. Vision gnn: An image is worth graph of nodes. In NeurIPS, 2022.
[32] Junjun He, Zhongying Deng, Lei Zhou, Yali Wang, and Yu Qiao. Adaptive pyramid context network for semantic segmentation. In CVPR, 2019.
[33] Kaiming He, Georgia Gkioxari, Piotr Dolkar, and Ross Girshick. Mask r-cnn. In ICCV, 2017.
[34] Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. Deep residual learning for image recognition. In CVPR, 2016.
[35] Zilong Huang, Xinggang Wang, Lichao Huang, Chang Huang, Yunchao Wei, and Wenyu Liu. Cnet: Criss-cross attention for semantic segmentation. In ICCV, 2019.
[36] Anil K Jain and Richard C Dubes. Algorithms for clustering data. Prentice-Hall, Inc., 1988.
[37] Varun Jampani, Deqing Sun, Ming-Yu Liu, Ming-Hsuan Yang, and Jan Kautz. Superpixel sampling networks. In ECCV, 2018.
[38] Stephen C Johnson. Hierarchical clustering schemes. Psychometrika, 32(3):241-254, 1967.
[39] Jean-Michel Jolion, Peter Meer, and Samira Bataouche. Robust clustering with applications in computer vision. IEEE TPAMI, 13(8):791-802, 1991.
[40] Bela Julesz. A brief outline of the texton theory of human vision. Trends in Neurosciences, 7(2):41-45, 1984.