[36] Zijian Wang, Yadan Luo, Ruihong Qiu, Zi Huang, and Mahsa Baktashmotlagh. Learning to diversify for single domain generalization. In IEEE/CVF International Conference on Computer Vision, pages 834-843, 2021.
[37] Alexander Robey, George J Pappas, and Hamed Hassani. Model-based domain generalization. Advances in Neural Information Processing Systems, 34:20210-20229, 2021.
[38] Juwon Kang, Sohyun Lee, Namyup Kim, and Suha Kwak. Style neophile: Constantly seeking novel styles for domain generalization. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 7130-7140, 2022.
[39] Yan Huang and Liang Wang. Acmm: Aligned cross-modal memory for few-shot image and sentence matching. In IEEE/CVF International Conference on Computer Vision, pages 5774-5783, 2019.
[40] Marcella Cornia, Matteo Stefanini, Lorenzo Baraldi, and Rita Cucchiara. Meshed-memory transformer for image captioning. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 10578-10587, 2020.
[41] Minfeng Zhu, Pingbo Pan, Wei Chen, and Yi Yang. Dm-gan: Dynamic memory generative adversarial networks for text-to-image synthesis. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 5802-5810, 2019.
[42] Seoung Wug Oh, Joon-Young Lee, Ning Xu, and Seon Joo Kim. Video object segmentation using space-time memory networks. In IEEE/CVF International Conference on Computer Vision, pages 9226–9235, 2019.
[43] Huaibo Huang, Aijing Yu, and Ran He. Memory oriented transfer learning for semi-supervised image deraining. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 7732-7741, 2021.
[44] Zhian Liu, Yongwei Nie, Chengjiang Long, Qing Zhang, and Guiqing Li. A hybrid video anomaly detection framework via memory-augmented flow reconstruction and flow-guided frame prediction. In IEEE/CVF International Conference on Computer Vision, pages 13588-13597, 2021.
[45] Hui Chen, Guiguang Ding, Xudong Liu, Zijia Lin, Ji Liu, and Jungong Han. Imram: Iterative matching with recurrent attention memory for cross-modal image-text retrieval. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 12655-12663, 2020.
[46] Somi Jeong, Youngjung Kim, Eungbean Lee, and Kwanghoon Sohn. Memory-guided unsupervised image-to-image translation. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 6558-6567, 2021.
[47] Xin Feng, Wenjie Pei, Fengjun Li, Fanglin Chen, David Zhang, and Guangming Lu. Generative memory-guided semantic reasoning model for image inpainting. IEEE Transactions on Circuits and Systems for Video Technology, 32(11):7432-7447, 2022.
[48] Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, and Ross Girshick. Momentum contrast for unsupervised visual representation learning. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 9729-9738, 2020.
[49] Rui Xu, Minghao Guo, Jiaqi Wang, Xiaoxiao Li, Bolei Zhou, and Chen Change Loy. Texture memory-augmented deep patch-based image inpainting. IEEE Transactions on Image Processing, 30:9112-9124, 2021.
[50] Tingliang Feng, Wei Feng, Weiqi Li, and Di Lin. Cross-image context for single image inpainting. Advances in Neural Information Processing Systems, 35:1474-1487, 2022.
[51] Wenguan Wang, Tianfei Zhou, Fisher Yu, Jifeng Dai, Ender Konukoglu, and Luc Van Gool. Exploring cross-image pixel contrast for semantic segmentation. In IEEE/CVF International Conference on Computer Vision, pages 7303-7313, 2021.
[52] Jian Liang, Dapeng Hu, and Jiashi Feng. Domain adaptation with auxiliary target domain-oriented classifier. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 16632-16642, 2021.
[53] Vibashan Vs, Vikram Gupta, Poojan Oza, Vishwanath A Sindagi, and Vishal M Patel. Mega-cda: Memory guided attention for category-aware unsupervised domain adaptive object detection. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 4516-4526, 2021.