Comments (2)
Hi,
- if you check our paper, we use different hyperpixel_ids for different datasets. Specifically, hyperpixel_ids=[0,8,20,21,26,28,29,30] is for SPair-71k found by HPF (https://github.com/juhongm999/hpf)
- Yes, we tried using other backbones (check out our ablation study on feature backbone), but we have not tried resnet152. Have you tried training from scratch when you replaced to resnet152? if you simply replaced without training, it's highly likely that it may perform worse. If it's not the case, there may be several reasons that could result worse performance: (1) as you mentioned, un-optimal hyperpixel_ids, (2) insufficient training epochs or could be anything else!
We are planning to improve both the paper and code in the near future, and as soon as they are ready, we will share with the community
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I get it. Thank you very much.
you are awesome!
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Related Issues (13)
- How much epoch? HOT 1
- licence HOT 2
- transfer the target image's points to source image? HOT 4
- PCK evaluation on PF-Willow HOT 1
- Visualization results HOT 3
- Data download error. HOT 2
- Potential bug? HOT 2
- Inference of the training HOT 1
- Visualization again
- When will the CAT++ be open sourced? HOT 1
- release of pre-trained weights HOT 3
- Why this code use target key points to predict source key points?
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