Comments (1)
During training, the iou threshold will determine the labels (+/-) for the training samples, but no sample will be rejected in the cascade. At inference, all samples will be forwarded to the next step from the previous step. No operations between two steps. Please check the paper for detail.
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Related Issues (20)
- have you try stage with IoU thr = 0.8 HOT 1
- Decodebbox layer
- cascade rcnn真的增加了正样本的数量吗 HOT 1
- Where can I find a information about stage weight in the original paper? HOT 1
- hello HOT 1
- rpn foreground accuracy is always 0 HOT 3
- Any Dockerfile?
- Check failed: error == cudaSuccess (8 vs. 0) invalid device function
- Message type "caffe.LayerParameter" has no field named "box_group_output_param". HOT 2
- model size HOT 1
- problem when compile the code.
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- Where is your cascade loss function?
- trianing res101-15s-800-fpn-cascade problem·
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- bbox_std value in different stages
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