Comments (1)
Good point! In fact, we find that the joint training is not stable and the performance is slightly worse than the current scheme.
We believe that designing effective scheme to combine the segfix and ocrnet scheme is a very valuable direction!
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Related Issues (20)
- Address already in use: how to enable multiple training process on one machine?
- About Segfix HOT 1
- ERROR: Found no prediction for ground truth HOT 1
- Wrong! bash scripts/cityscapes/segfix/run_h_48_d_4_segfix.sh segfix_pred_val 1 HOT 1
- Mask loss is 0.0 and overall loss doesnt converge && what is relevance of dt_num_classes ? HOT 2
- TypeError: 'NoneType' object is not callable HOT 2
- Unexpected key(s) in state_dict: "config_dict", "state_dict". HOT 1
- FSSlowOhemCELoss is not defined in loss_helper
- why the refined result is white?
- can not reproduce eval result with segfix
- question about flops
- Result of refinement by SegFix on HRNet / HRNet-Semantic-Segmentation open source
- a pretrained SegFix model,
- preprocess scripts for LIP
- Checkpoints for SegFix models trained with Pytorch-1.7 have been released?
- Preprocess VOC dataset HOT 2
- need *.mat when I want to train segfix on my own dataset
- custom dataset
- label list
- About Train and Val HOT 1
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