Comments (1)
I tested the aim-net500 dataset with the model you provided and found that the SAD was only 47. Can you check that the model you uploaded in GitHub is correct? In addition, did you do other processing on the DIM dataset? In your dim_hatt_am2k_type.json file, the key of the DIM dataset is number 1,2,3,4....,but the names of DIM datasets are different. So how did you rename them. I use the training_fg_names.txt file to rename them, and retrained the model according to the steps you provided on GitHub, and the SAD is only 55.
hello,I found that my dim_hatt_am2k_type.json file downloaded from the github have the same problem.could you pleased to provide me for your renamed json file? My email is [email protected].
Thank you very much!
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Related Issues (20)
- Sharing code HOT 1
- Impossible to obtain the same results with the pretrained model HOT 4
- Training code HOT 1
- No predictions for smaller objects HOT 2
- about fps Can it be in real time? HOT 1
- No such file or directory: '/AIMmodels/pretrained/r34mp_pretrained_imagenet.pth.tar' HOT 1
- DUTS SOD accuracy and loss values
- Number of iterations for each epochs HOT 1
- Rotated predictions
- CoreML
- When do you plan to release the training code? HOT 2
- USR type json file does not match DIM, HAttMatting dataset file name HOT 1
- ValueError: operands could not be broadcast together with shapes (900,1600,1) (900,1600)
- 啥时候放代码呀,非常期待 HOT 1
- Access the pre-trained models? HOT 1
- Question about the results for DIM+Trimap HOT 1
- Training and Testing code ? HOT 2
- Some test results on images in the wild HOT 9
- Training code HOT 3
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