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Computer Vision Foundation \/ IEEE, 3713--3722. Kaihua Tang, Yulei Niu, Jianqiang Huang, Jiaxin Shi, and Hanwang Zhang. 2020. Unbiased Scene Graph Generation From Biased Training. In 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13--19, 2020. Computer Vision Foundation \/ IEEE, 3713--3722."},{"key":"e_1_3_2_2_53_1","doi-asserted-by":"publisher","DOI":"10.1145\/3123266.3123326"},{"key":"e_1_3_2_2_54_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58586-0_2"},{"key":"e_1_3_2_2_55_1","volume-title":"Cross-modal Scene Graph Matching for Relationship-aware Image-Text Retrieval. In Winter Conference on Applications of Computer Vision, WACV. 1497--1506","author":"Wang Sijin","year":"2020","unstructured":"Sijin Wang , Ruiping Wang , Ziwei Yao , Shiguang Shan , and Xilin Chen . 2020 a. Cross-modal Scene Graph Matching for Relationship-aware Image-Text Retrieval. 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In Conference on Computer Vision and Pattern Recognition, CVPR. 10938--10947."},{"key":"e_1_3_2_2_63_1","volume-title":"Unified Visual-Semantic Embeddings: Bridging Vision and Language With Structured Meaning Representations. In Conference on Computer Vision and Pattern Recognition CVPR. 6609--6618","author":"Wu Hao","year":"2019","unstructured":"Hao Wu , Jiayuan Mao , Yufeng Zhang , Yuning Jiang , Lei Li , Weiwei Sun , and Wei-Ying Ma . 2019 . Unified Visual-Semantic Embeddings: Bridging Vision and Language With Structured Meaning Representations. In Conference on Computer Vision and Pattern Recognition CVPR. 6609--6618 . Hao Wu, Jiayuan Mao, Yufeng Zhang, Yuning Jiang, Lei Li, Weiwei Sun, and Wei-Ying Ma. 2019. Unified Visual-Semantic Embeddings: Bridging Vision and Language With Structured Meaning Representations. 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Causal Attention for Vision-Language Tasks. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021 , virtual, June 19 --25 , 2021. Computer Vision Foundation \/ IEEE, 9847--9857. Xu Yang, Hanwang Zhang, Guojun Qi, and Jianfei Cai. 2021. Causal Attention for Vision-Language Tasks. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19--25, 2021. Computer Vision Foundation \/ IEEE, 9847--9857."},{"key":"e_1_3_2_2_67_1","volume-title":"Context and Attribute Grounded Dense Captioning. In Conference on Computer Vision and Pattern Recognition, CVPR. 6241--6250","author":"Yin Guojun","year":"2019","unstructured":"Guojun Yin , Lu Sheng , Bin Liu , Nenghai Yu , Xiaogang Wang , and Jing Shao . 2019 . Context and Attribute Grounded Dense Captioning. In Conference on Computer Vision and Pattern Recognition, CVPR. 6241--6250 . Guojun Yin, Lu Sheng, Bin Liu, Nenghai Yu, Xiaogang Wang, and Jing Shao. 2019. Context and Attribute Grounded Dense Captioning. In Conference on Computer Vision and Pattern Recognition, CVPR. 6241--6250."},{"key":"e_1_3_2_2_68_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00166"},{"key":"e_1_3_2_2_69_1","volume-title":"Counterfactual Zero-Shot and Open-Set Visual Recognition. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021","author":"Yue Zhongqi","year":"2021","unstructured":"Zhongqi Yue , Tan Wang , Qianru Sun , Xian-Sheng Hua , and Hanwang Zhang . 2021 . Counterfactual Zero-Shot and Open-Set Visual Recognition. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021 , virtual, June 19 --25 , 2021. Computer Vision Foundation \/ IEEE, 15404--15414. Zhongqi Yue, Tan Wang, Qianru Sun, Xian-Sheng Hua, and Hanwang Zhang. 2021. Counterfactual Zero-Shot and Open-Set Visual Recognition. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19--25, 2021. Computer Vision Foundation \/ IEEE, 15404--15414."},{"key":"e_1_3_2_2_70_1","volume-title":"Causal Intervention for Weakly-Supervised Semantic Segmentation. In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020","author":"Zhang Dong","year":"2020","unstructured":"Dong Zhang , Hanwang Zhang , Jinhui Tang , Xian-Sheng Hua , and Qianru Sun . 2020 b. Causal Intervention for Weakly-Supervised Semantic Segmentation. In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020 , NeurIPS 2020, December 6--12, 2020, virtual, Hugo Larochelle, Marc'Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, and Hsuan-Tien Lin (Eds.). Dong Zhang, Hanwang Zhang, Jinhui Tang, Xian-Sheng Hua, and Qianru Sun. 2020b. Causal Intervention for Weakly-Supervised Semantic Segmentation. In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6--12, 2020, virtual, Hugo Larochelle, Marc'Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, and Hsuan-Tien Lin (Eds.)."},{"key":"e_1_3_2_2_71_1","volume-title":"Context-Aware Attention Network for Image-Text Retrieval. In Conference on Computer Vision and Pattern Recognition, CVPR. 3533--3542","author":"Zhang Qi","unstructured":"Qi Zhang , Zhen Lei , Zhaoxiang Zhang , and Stan Z. Li . 2020a . Context-Aware Attention Network for Image-Text Retrieval. In Conference on Computer Vision and Pattern Recognition, CVPR. 3533--3542 . Qi Zhang, Zhen Lei, Zhaoxiang Zhang, and Stan Z. Li. 2020a. Context-Aware Attention Network for Image-Text Retrieval. In Conference on Computer Vision and Pattern Recognition, CVPR. 3533--3542."},{"key":"e_1_3_2_2_72_1","volume-title":"Deep Supervised Cross-Modal Retrieval. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR. 10394--10403","author":"Zhen Liangli","year":"2019","unstructured":"Liangli Zhen , Peng Hu , Xu Wang , and Dezhong Peng . 2019 . Deep Supervised Cross-Modal Retrieval. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR. 10394--10403 . Liangli Zhen, Peng Hu, Xu Wang, and Dezhong Peng. 2019. Deep Supervised Cross-Modal Retrieval. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR. 10394--10403."},{"key":"e_1_3_2_2_73_1","volume-title":"Learning Deep Features for Discriminative Localization. In 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016","author":"Zhou Bolei","year":"2016","unstructured":"Bolei Zhou , Aditya Khosla , \u00c0gata Lapedriza , Aude Oliva , and Antonio Torralba . 2016 . Learning Deep Features for Discriminative Localization. In 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016 , Las Vegas, NV, USA, June 27--30 , 2016. IEEE Computer Society, 2921--2929. Bolei Zhou, Aditya Khosla, \u00c0gata Lapedriza, Aude Oliva, and Antonio Torralba. 2016. Learning Deep Features for Discriminative Localization. In 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016, Las Vegas, NV, USA, June 27--30, 2016. 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