Comments (1)
Do you only show the samples at the beginning of the training? The number of positives should be increased as described in the paper when training is stable.
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Related Issues (20)
- have you try stage with IoU thr = 0.8 HOT 1
- Decodebbox layer
- 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?
- inference process HOT 1
- 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.
- how to test one img with c++
- Where is your cascade loss function?
- trianing res101-15s-800-fpn-cascade problem·
- How much memory of GPU is needed for inference?
- bbox_std value in different stages
- When do the test inference, does the model hold the proposals from all the three stage output,or just take the output from the last stage headers?
- loss不下降 HOT 4
- how to download pretrained model ?
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