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Learning from Data (Fall 2022) #23

Open kundtx opened 1 year ago

kundtx commented 1 year ago

http://8.129.175.102/lfd2022fall-poster-session/22.html

nighood commented 1 year ago

G30 ShutongDuan, Good work! May I know what is the exact structure of the improved model?

Runze-Zhao commented 1 year ago

G13,Runze Zhao, Novel work! How does this job compare to the previous SOTA job?

qingyuhai commented 1 year ago

G13, Qian Zhang: Hi Shilong, your work is very interesting and inspiring to me. I guess I have a question, in your approach, did you make changes in the improved model part and what specific changes did you make?

charon-bo commented 1 year ago

@qingyuhai G13, Qian Zhang: Hi Shilong, your work is very interesting and inspiring to me. I guess I have a question, in your approach, did you make changes in the improved model part and what specific changes did you make?

Hello Zhang Qian, this question is very challenging. Regarding model optimization, I think we pay more attention to the construction and comparison between different SOAT models. I believe that in the future we will improve the robustness and lightweight of the model. More effort, thanks for asking.

charon-bo commented 1 year ago

@Runze-Zhao G13,Runze Zhao, Novel work! How does this job compare to the previous SOTA job?

Runze, hello, I think this is a very good question. Compared with some excellent works that have been published, it is very necessary, and it can also reflect the novelty of our work. We also summarized some published in NC, SA journals Through comparison, we can conclude that the tactile perception system we built has richer functions, such as: pressure, material and texture perception, and at the same time made corresponding efforts in more integration.

charon-bo commented 1 year ago

@nighood G30 ShutongDuan, Good work! May I know what is the exact structure of the improved model?

Shutong, hello, I think this is a very good question, it may be somewhat similar to Brother Zhang Qian's question, but it doesn't matter. Regarding the models used in our system, we pay more attention to the construction and comparison between different SOAT models. I believe that in the future we will make more efforts to improve the robustness and lightweight of the model, thank you for your inquiry.