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Journal of Image and Graphics 9 (2021), 135 \u2013 139 . Florian Spiess, Lucas Reinhart, Norbert Strobel, Dennis Kaiser, Samuel Kounev, and Tobias Kaupp. 2021. People detection with depth silhouettes and convolutional neural networks on a mobile robot. Journal of Image and Graphics 9 (2021), 135\u2013139.","journal-title":"Journal of Image and Graphics"},{"key":"e_1_3_2_1_29_1","volume-title":"Attention is all you need. Advances in Neural Information Processing Systems 30","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani , Noam Shazeer , Niki Parmar , Jakob Uszkoreit , Llion Jones , Aidan N Gomez , \u0141ukasz Kaiser , and Illia Polosukhin . 2017. Attention is all you need. Advances in Neural Information Processing Systems 30 ( 2017 ). Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, \u0141ukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. 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Jing Zhang, Jun Wu, Hui Wang, Yuchen Wang, and Yunsong Li. 2021. Cloud detection method using CNN based on cascaded feature attention and channel attention. IEEE Transactions on Geoscience and Remote Sensing 60 (2021), 1\u201317.","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"e_1_3_2_1_36_1","volume-title":"IEEE International Conference on Power Electronics, Computer Applications (ICPECA). IEEE, 905\u2013908","author":"Zhang Li","year":"2021","unstructured":"Li Zhang and Yuxuan Hu . 2021 . A fine-tuning approach research of pre-trained model with two stage . In IEEE International Conference on Power Electronics, Computer Applications (ICPECA). IEEE, 905\u2013908 . Li Zhang and Yuxuan Hu. 2021. A fine-tuning approach research of pre-trained model with two stage. In IEEE International Conference on Power Electronics, Computer Applications (ICPECA). IEEE, 905\u2013908."},{"key":"e_1_3_2_1_37_1","unstructured":"Liming Zhang and Weisi Lin. 2013. 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Multi-scale and attention residual network for single image dehazing. In International Conference on Intelligent Computing and Signal Processing (ICSP). IEEE, 483\u2013487."},{"key":"e_1_3_2_1_40_1","volume-title":"International Conference on Communications, Information System and Computer Engineering (CISCE). IEEE, 213\u2013216","author":"Zhou Ya","year":"2020","unstructured":"Ya Zhou and Can Tao . 2020 . Multi-task BERT for problem difficulty prediction . In International Conference on Communications, Information System and Computer Engineering (CISCE). IEEE, 213\u2013216 . Ya Zhou and Can Tao. 2020. Multi-task BERT for problem difficulty prediction. In International Conference on Communications, Information System and Computer Engineering (CISCE). 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