Few questions

[이성주]

1. Question about the "Other" option: I used pretrained weights from COCO, ImageNet, etc., for initializing the model. Should I check the "Other" option?

2. If the answer to question 1 is YES, should I resubmit the results? Are there any other disadvantages to providing inaccurate information, such as FPS, metadata, or other details?

3. Does the workshop winner get the opportunity to present at the conference? If so, how many top winners are given this opportunity?

[Nikhil Akalwadi]

Can you please elaborate on what you mean by the “other” option? 

On Dec 12, 2024, at 00:01, 이성주 <sungj...@gmail.com> wrote:



1. Question about the "Other" option: I used pretrained weights from COCO, ImageNet, etc., for initializing the model. Should I check the "Other" option?

2. If the answer to question 1 is YES, should I resubmit the results? Are there any other disadvantages to providing inaccurate information, such as FPS, metadata, or other details?

3. Does the workshop winner get the opportunity to present at the conference? If so, how many top winners are given this opportunity?

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[이성주]

For clarity, I uploaded the screenshot: 

I didn't use the extra training data, while I used pretrained weights for model initialization at the beginning of the training.

Thanks.

2024년 12월 12일 목요일 오전 12시 7분 4초 UTC+9에 akalwad...@gmail.com님이 작성:

[Nikhil Akalwadi]

Thanks for the clarity. 

You can mention the pretrained models in case used. However, we shall not evaluate based on the models used. 

And for the earlier questions, we are not yet sure how many contestants or if at all contestants will be given a chance to present at the workshop. We shall discuss with the committee and get back to you on that. 

On Dec 12, 2024, at 00:06, Nikhil Akalwadi <akalwad...@gmail.com> wrote: