# Eddie's Learning Record 28

**Published by:** [Eddie's Learning Records](https://paragraph.com/@eddiehe/)
**Published on:** 2023-02-02
**URL:** https://paragraph.com/@eddiehe/eddies-learning-record-28

## Content

1. DurationMonday, December 12th, 2022 - Saturday, December 17th, 2022 2. Learning Record2.1 Added CBAMI added cbam [1] on the SOFTNet, but it ran as shit. I tried some fine-tuning, but I still got terrible results. 2.2 Refactored tf.datasetI tried to use the generator to generate data for the vision transformer model, but the yield would yield a tensor in the shape of [none, none, none, none] which causes errors. 2.3 Request for the Test DatasetI sent the request e-mail and got the reply with the link to the dataset within one morning, the morning of December 15th, 2022. The efficiency shocked me a lot! 2.4 Deploy on New ServerThe training made the Windows server really slow even stuck. Consequently, I got a new account for the Linux server. It has two GTX 2080 Ti GPUs, cool! 2.5 Paper ReadingI read the paper [2]. It uses traditional methods but got the first prize in the competition. Unbelievable! 3. Feelings3.1 BusyThe code runs as shit and I needed to learn how to use Linux. References[1]S. Woo, J. Park, J.-Y. Lee, and I. S. Kweon, “CBAM: Convolutional Block Attention Module,” in Computer Vision – ECCV 2018, Cham, 2018, pp. 3–19. [2]J. Yu, Z. Cai, Z. Liu, G. Xie, and P. He, “Facial Expression Spotting Based on Optical Flow Features,” in Proceedings of the 30th ACM International Conference on Multimedia, New York, NY, USA, 2022, pp. 7205–7209. doi: 10.1145/3503161.3551608.

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