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result of post processing #11
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I think you might have an issue with image sizes. Are you sure you are running the post-processing on the final resolution (640x480)? Did you use our provided script to compute the metric or did you implement your own? |
@antonilo I tried again and still got 69.3 on DAVIS |
Do you get the same results as in here http://rpg.ifi.uzh.ch/data/detection_results.zip ? Did you use this evaluation script? If not, I might need more details to debug the problem (TensorFlow version used, for example) |
I did use your provided evaluation script. but I do not think I get the exactly same detection results as yours, because based on your detection results and evaluation tool, I can get the number reported in paper.
…________________________________
From: Antonio Loquercio <[email protected]>
Sent: Monday, October 26, 2020 12:37 PM
To: antonilo/unsupervised_detection <[email protected]>
Cc: Fan Yang <[email protected]>; Author <[email protected]>
Subject: [External] Re: [antonilo/unsupervised_detection] result of post processing (#11)
Do you get the same results as in here http://rpg.ifi.uzh.ch/data/detection_results.zip ? Did you use this evaluation script<https://github.com/antonilo/unsupervised_detection/blob/master/test_generator.py>? If not, I might need more details to debug the problem (TensorFlow version used, for example)
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Might be that you used a sub-optimal checkpoint. How many epochs did you train? |
I use the model you provided in github
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From: Antonio Loquercio <[email protected]>
Sent: Tuesday, October 27, 2020 4:55:08 AM
To: antonilo/unsupervised_detection <[email protected]>
Cc: Fan Yang <[email protected]>; Author <[email protected]>
Subject: [External] Re: [antonilo/unsupervised_detection] result of post processing (#11)
Might be that you used a sub-optimal checkpoint. How many epochs did you train?
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@fyangneil Hi, anything follows this ? have you reproduced the same number ? eg. 71 ? |
no, I cannot reproduce the number reported in paper
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From: Weidi <[email protected]>
Sent: Friday, February 5, 2021 5:49 PM
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Subject: [External] Re: [antonilo/unsupervised_detection] result of post processing (#11)
@fyangneil<https://github.com/fyangneil> Hi, anything follows this ? have you reproduced the same number ? eg. 71 ?
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Sorry, but it is very difficult to help without details. I would say that the problem is in the way images are pre-processed (reshaping and central cutting). The changes might have affected the ckpts. What if you train a new ckpt (from scratch or resuming from the one available)? The predicted masks have been produced with the model available online. |
But, I did not change anything. I simply used the model online and run the test script for DAVIS dataset, the result is lower than the number reported in paper.
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From: Antonio Loquercio <[email protected]>
Sent: Saturday, February 6, 2021 1:43 PM
To: antonilo/unsupervised_detection <[email protected]>
Cc: Fan Yang <[email protected]>; Mention <[email protected]>
Subject: [External] Re: [antonilo/unsupervised_detection] result of post processing (#11)
Sorry, but it is very difficult to help without details. I would say that the problem is in the way images are pre-processed (reshaping and central cutting). The changes might have affected the ckpts. What if you train a new ckpt (from scratch or resuming from the one available)? The predicted masks have been produced with the model available online.
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@WeidiXie Have you reproduced the number reported in paper? |
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I see, thanks, I was just wondering the step-wise breakdown results, but I'll test this myself when I got time. |
i use the provided model and post processing code on davis16 dataset, the final result is 69.3 which is lower than 71.5 reported in paper. I am not sure if the result is correct.
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