Comments (2)
Hello,
Thanks for your interest in our work!
The training consists of two stages, the source-only stage and the adaptation stage. The two stages of training are conducted consecutively, i.e., the second stage takes the trained model from the first stage as the initialization.
Thus, the initial weight of source only stage and adaptation stage are imagenet-pretrained model and the source-only model, accordingly.
from ccm.
THANKS! I get it now.
from ccm.
Related Issues (14)
- Source only model HOT 4
- Baseline_model HOT 1
- config, writer = init_config("config/final_config.yml", sys.argv) HOT 1
- neptune.exceptions.MissingApiToken: Missing API token. HOT 2
- thres in gene_thres HOT 1
- Source Only Train HOT 1
- self.cnts don't need to be updated? HOT 1
- The random selection of 'pool_prop' before matching and selection HOT 1
- Could you provide the pre-trained model "SYNTHIA-Source-only"
- A little question about piece of code in the ccm_config.yml HOT 2
- Training error: RuntimeError: For non-complex input tensors, argument alpha must not be a complex number. HOT 7
- about the label of target domain HOT 1
- About SYNTHIA pretrained models
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from ccm.