Shuaifeng Li

Results 8 comments of Shuaifeng Li

> Just find out that you have to install the CoCO API. > > cd data > > git clone https://github.com/pdollar/coco.git cd coco/PythonAPI > > make > > cd ../../.....

Yes, your losses are normal. I guess you may have added too much style to the original image. You can change the `alpha` during testing. Or you can also set...

I am very sorry for the long delay in replying, and we really appreciate your interest in our papers! `/home/lishuaifeng/data/clipart/VOC2007/ImageSets/Main/traintest1k.txt` is a collection of training and test data of the...

Hi Yadan, I am very sorry for the long delay in replying, and I really appreciate your interest in our work! I have uploaded our trained models, test data and...

Thank you so much for your appreciation of our work! Our work is based on [jwyang/faster-rcnn.pytorch](https://github.com/jwyang/faster-rcnn.pytorch/tree/pytorch-1.0#prerequisites), which requires python version 2.7 or 3.6 and pytorch version 1.0. I think python3.7+...

Our work provides a novel idea for SFOD by overlooking target domain style for model adaptation. Theoretically, this "overlooking domain style" idea can be applied to any type of detector,...

Thank you for your interest in our work! I have uploaded our trained models, test data and test codes in the `Trained_models` directory, please check them out. For the inability...

I think you misunderstood. What I mean is that when testing the trained models we provide, you need to use the corresponding python version, otherwise the accuracies of the trained...