mAP resultts
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Hi, thanks for your excellent work!
But I have some questions during testing and training,and hoping for your help. As I read your paper, pretrained wsddn model that downloaded from here should generate mAP 28.5 on voc2007 dataset, but I just got 25.7, and I have no idea what's wrong. Similarly, I used this pretrained model to train:
./experiments/scripts/train.sh 0 pascal_voc vgg16 path_to_wsddn_pretrained_model, after training 70000 iters, the result was just 45.8, vs your result 48.3
My environment setting:
pytorch 0.2
cuda 9.0
python 3.6
I am not sure if the selective search data affects final results cause you didn't give your pre-computed proposals. Usually there are about 2K proposals for an image. So could you please give me some advice and share your pre-computed proposals? Thanks very much.