Comments (4)
Without using BL30K data, I tried to use resnet101+aspp, resnet101w+aspp, and resnet50w+aspp, the performance on YTB all dropped lightly. I am not quite sure of whether I need to tune the hypers more carefully for better performance. Have you used BL30K data? @longmalongma
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Without using BL30K data, I tried to use resnet101+aspp, resnet101w+aspp, and resnet50w+aspp, the performance on YTB all dropped lightly. I am not quite sure of whether I need to tune the hypers more carefully for better performance. Have you used BL30K data? @longmalongma
@JerryX1110 Yes, I tried to use resnet101+aspp, resnet101w+aspp, and resnet50w+aspp with BL30K, the performance on YTB all also dropped lightly. That's why I brought it up.
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@JerryX1110 @longmalongma Sorry that I could not be more responsive these days since I am moving and there is a lot to handle.
From my experience changing the backbone from resnet50 to wide-resnet50 always helps. Adding ASPP or using a deeper network does not always help because it changes the receptive field and you might need a larger crop size in training.
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Just to clarify -- I did not use a larger crop size in my experiments for models with ASPP because it's so much slower to train. That's just a suggestion.
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Related Issues (20)
- questions regard training the model HOT 2
- youtube 2019上的测试结果 HOT 17
- For evaluation HOT 1
- How to get the results based on Youtube VOS 2019? HOT 1
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