Comments (1)
- The samples are removed manually. I am sorry that I could not provide specific file names since it is too far from now, and I have graduated from SJTU where I finished this work. By the way, our previous experiences show that the results are similar between removing or keeping these samples.
- Yes. The results are evaluated under the
finetune
folder, but without training, just loading the pretrained weights.
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Related Issues (20)
- how to genenrate FS HOT 1
- A hard question HOT 4
- Query - How to deal with the original image size and examplar scales HOT 3
- Hello , I fund a error when I run the file the named train_val.py. HOT 3
- Hello , I coudn't found the Similarity Comparison Module (SCM) and the Feature Enhancement Module (FEM) in your code. HOT 2
- How to test the code using this tools/train_val.py ?
- How to test the code using this tools/train_val.py ? HOT 1
- Query - Implementaion of weighted feature aggregation HOT 2
- the problem when test Cross-dataset Generalization HOT 3
- Error in rop_roi_feat () , feat_box.shape[2] =0 HOT 7
- Problems in dataset generation HOT 1
- Config.yaml
- About cross-dataset setting HOT 6
- How to execute without slurm installed HOT 1
- About support image HOT 2
- Detailed Inference Guideline? HOT 6
- question on the use of few shot images HOT 5
- File generation issue HOT 1
- exemplar.json
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