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COCO panoptic and Sama-COCO masks #11

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darkasevgen opened this issue May 7, 2024 · 4 comments
Open

COCO panoptic and Sama-COCO masks #11

darkasevgen opened this issue May 7, 2024 · 4 comments

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@darkasevgen
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Hello! I have a question.
You wrote the following:
We adopt COCO panoptic and Sama-COCO masks (high-quality instance segmentation annotations) as our starting point.
But as far as I understand, in your labeling pipeline, you used in step 1 kMaX-Deeplab and DETA models to get masks and bbox proposals respectively.
Hence, the COCO and Sama-COCO masks are not used, am I right?

@xdeng7
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xdeng7 commented May 7, 2024

Hello! I have a question. You wrote the following: We adopt COCO panoptic and Sama-COCO masks (high-quality instance segmentation annotations) as our starting point. But as far as I understand, in your labeling pipeline, you used in step 1 kMaX-Deeplab and DETA models to get masks and bbox proposals respectively. Hence, the COCO and Sama-COCO masks are not used, am I right?

to build the step-1 data engine, we did not use sama-coco, but used it for the step2 semi-automatic stage when iterate the panoptic model.

@darkasevgen
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Hello! I have a question. You wrote the following: We adopt COCO panoptic and Sama-COCO masks (high-quality instance segmentation annotations) as our starting point. But as far as I understand, in your labeling pipeline, you used in step 1 kMaX-Deeplab and DETA models to get masks and bbox proposals respectively. Hence, the COCO and Sama-COCO masks are not used, am I right?

to build the step-1 data engine, we did not use sama-coco, but used it for the step2 semi-automatic stage when iterate the panoptic model.

What do you mean? The second step in the pipeline — questionnaire

@xdeng7
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xdeng7 commented May 7, 2024

Hello! I have a question. You wrote the following: We adopt COCO panoptic and Sama-COCO masks (high-quality instance segmentation annotations) as our starting point. But as far as I understand, in your labeling pipeline, you used in step 1 kMaX-Deeplab and DETA models to get masks and bbox proposals respectively. Hence, the COCO and Sama-COCO masks are not used, am I right?

to build the step-1 data engine, we did not use sama-coco, but used it for the step2 semi-automatic stage when iterate the panoptic model.

What do you mean? The second step in the pipeline — questionnaire

check 3.4 data engine, for step1, we did not use sama-coco data, all the models are trained on COCO,

@darkasevgen
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Hello! I have a question. You wrote the following: We adopt COCO panoptic and Sama-COCO masks (high-quality instance segmentation annotations) as our starting point. But as far as I understand, in your labeling pipeline, you used in step 1 kMaX-Deeplab and DETA models to get masks and bbox proposals respectively. Hence, the COCO and Sama-COCO masks are not used, am I right?

to build the step-1 data engine, we did not use sama-coco, but used it for the step2 semi-automatic stage when iterate the panoptic model.

What do you mean? The second step in the pipeline — questionnaire

check 3.4 data engine, for step1, we did not use sama-coco data, all the models are trained on COCO,

Then what does the quote
"We adopt ... Sama-COCOCO [73] masks (high-quality instance segmentation annotations2 ) as our starting point."
mean. ?

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