Comments (3)
Gaoyiminggithub
commented on July 17, 2024
Hi,
There may be two reasons for that: 1. SSL tests only use one scale while we use 7 scales. You can change the scale list to [1] in here to speed up. 2. SSL uses the framework of Caffe which may be faster than Pytorch.
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wugh
commented on July 17, 2024
Thanks,
I will try the scale first, I also see some related section in your paper.
But there is no related experiments to evaluate the performance if we inference without multi scale.
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Gaoyiminggithub
commented on July 17, 2024
Hi,
the reason why there are no experiments without multi-scale is that previous work reported the results with multi-scale.
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Related Issues (20)
- Access to download the updated CHIP and PASCAL models HOT 2
- Train PASCAL from CIHP
- In the function Featuremaps_to_Graph,why softmax axis is -1?
- CUDA memory problem HOT 1
- How to fine-tune this model for a semantic segmentation task for human parsing ? HOT 2
- why actual performance is worse than deeplab v3+? HOT 2
- How to train and evaluate on deeplabv3 baseline? HOT 2
- why Inputs requires grad? HOT 1
- Closed
- No access to google drive HOT 1
- Universal trained model is in owner's trash
- where to get full pascal-part HOT 4
- Datasets license
- Universal weight is unavailable HOT 1
- Which was the model that generated the repo's messi_output.png HOT 1
- the Pascal pretrained model
- Access rights required
- Can only use the CPU？
- error will executing /inference.py Error PYTORCH_CUDA_ALLOC_CONF
- How to prepare the dataset?
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