zhanghang1989 / zhanghang1989/PyTorch-Encoding
Questions about resnet101 and resnet101s
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Description
We have conducted experiments with backbone resnet101 and resnet101s, respectively, leading to more than 1% mIoU gap on Pascal VOC 2012 dataset. Therefore, we want to figure out the difference between these two backbones: first, does both backbones are trained on ImageNet dataset only? Second, which one is the popular backbone used in recent researchs. Third, if we utilize resnet101s as our backbone, is it fair to compare our experiment results with other methods based on resnet101 backbone.
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Research direction
The issue mentions resnet101, resnet101s, Pascal VOC 2012, and ImageNet but names no files, tests, or entry points. Start by locating the backbone definitions and training configuration, then compare their pretrained-data and evaluation settings. Done means documenting the differences and whether the comparison is methodologically fair.
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Assessment
- Tech stack
- python, pytorch
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100