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ICACT20210188 Question.1
Questioner: baniyab@gram.edu    2021-02-09 오후 9:33:48
ICACT20210188 Answer.1
Answer by Auhor kiwi7580@gmail.com   2021-02-09 오후 9:33:48
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Thank you very much for submitting your research article and welcome to IEEE/ ICACT2021. I went through your PowerPoint and there found many interesting insight. Would you mind to explain how multiple objects detected in same scene (frame) (did you try to calculate false detection rate?) 5 objects
ICACT20210188 Question.13
Questioner: iglee@sungshin.ac.kr    2021-02-09 오후 9:34:25
ICACT20210188 Answer.13
Answer by Auhor kiwi7580@gmail.com   2021-02-09 오후 9:34:25
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Hello. Thanks for sharing the slides. I would like to ask if it is possible to detect objects other than people and food in an image. Also, what was the environment and language in which the experiment was conducted? The experiments were conducted on Ubuntu 16.04 LTS, using 32 GB of RAM and two NVIDIA GTX 1080Ti GPUs with 11 GB for the cloud computing and using 16 GB of RAM and one NVIDIA GTX 1080Ti GPU with 11 GB for the edge computing. Tensorflow 1.12 in the Python 3.6 environment is used to configure the deep-learning models. I used python language.
ICACT20210188 Question.2
Questioner: baniyab@gram.edu    2021-02-09 오후 9:36:24
ICACT20210188 Answer.2
Answer by Auhor kiwi7580@gmail.com   2021-02-09 오후 9:36:24
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Did you get the chance to compare the recognition rate of proposed method with other well-known methods? Thanks for good question. I will try it in next paper.
ICACT20210188 Question.3
Questioner: mots@etri.re.kr    2021-02-09 오후 9:34:49
ICACT20210188 Answer.3
Answer by Auhor kiwi7580@gmail.com   2021-02-09 오후 9:34:49
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What is the specification of edge computing for implementating the proposed method? The experiments were conducted on Ubuntu 16.04 LTS, using 32 GB of RAM and two NVIDIA GTX 1080Ti GPUs with 11 GB for the cloud computing and using 16 GB of RAM and one NVIDIA GTX 1080Ti GPU with 11 GB for the edge computing. Tensorflow 1.12 in the Python 3.6 environment is used to configure the deep-learning models.
ICACT20210188 Question.5
Questioner: shubhamkj2405@gmail.com    2021-02-10 오후 4:31:18
ICACT20210188 Answer.5
Answer by Auhor kiwi7580@gmail.com   2021-02-10 오후 4:31:18
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Dear Author, that was an interesting presentation. I wanted to ask about the evaluation metric/ technique for your proposed methods? Also, you mentioned that you are using pre-trained models. Can you let me know the model they were trained on? - mAP - I trained the model directly.