Comments (4)
Hi, I notice that there is already a paper that is similar to your idea (https://arxiv.org/pdf/2011.10043.pdf). Please correct me if I misunderstand what you mean.
from densecl.
Yes, using geometric transformation is a straightforward way. In our framework, the two ways can achieve almost the same results. This part of the experiments will be updated in our next version.
As discussed in our paper, our proposed method is more flexible and simple.
Please refer to our paper for a detailed discussion. (the last of Sec 1.1 Related Work/Pre-training for dense prediction tasks)
from densecl.
Hi, I notice that there is already a paper that is similar to your idea (https://arxiv.org/pdf/2011.10043.pdf). Please correct me if I misunderstand what you mean.
Hi, thank you for the information! I haven't read that paper before and it looks interesting. But yeah, that's what I mean.
from densecl.
Yes, using geometric transformation is a straightforward way. In our framework, the two ways can achieve almost the same results. This part of the experiments will be updated in our next version.
As discussed in our paper, our proposed method is more flexible and simple.
Please refer to our paper for a detailed discussion. (the last of Sec 1.1 Related Work/Pre-training for dense prediction tasks)
Hi, thank you for your reply. Yeah, I get your point. I'm looking forward to the updated version.
The issue is closed.
from densecl.
Related Issues (20)
- Evaluation setting on Semantic segmentation HOT 2
- Performance of Semantic Segmentation on Pascal VOC HOT 1
- Why use argmax for matching?
- dataset preparing HOT 1
- The checkpoint with neck. HOT 1
- Training an Pretrained model on object detection task on single GPU HOT 2
- DenseNeck design
- Link for pretraining Mocov2 on COCO is dead HOT 2
- Dimensions of data
- Config issue about 'Res5ROIHeadsExtraNorm'
- About Linear classification results on ImageNet
- The model and loaded state dict do not match exactly HOT 1
- How to get negative key t_
- how to train on single GPU?
- [Err]: RuntimeError: Default process group has not been initialized, please make sure to call init_process_group. HOT 2
- Neck weights
- About the loss of Denscl
- GPU training problem
- Clarification on checkpoints
- Semantic segmentation on PASCAL VOC
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