Comments (2)
Hi, Thank you for your interest in our code and paper.
Actually, the load_val_bbox is only used in the training stage, i.e., PSOL_training.py, and the evaluation metric in the training stage is just a hint (not an accurate number) for the model. In the evaluation stage, we will use different strategies to get the gt_boxes from the original XML file (Please see the PSOL_inference.py for details).
A basic assumption in current WSOL tasks is that there is only one object in the corresponding image. if there are more than one object in the image, we will calculate the maximum IoU score with any objects and take it as the final score.
Regards,
Chenlin
from psol.
Your answer completely solved my question! Thank you!
from psol.
Related Issues (20)
- When will training codes be available? HOT 3
- Please provide XML files mentioned in Github Page - myval/ (groundtruth annotation xml file)!!!
- Please share ImageNet dataset along with XML annotation files
- Getting Class Loss Acc always as Zero!!! HOT 1
- 请问pytorch和python是那个版本 HOT 4
- 我的数据集只有一类,可以使用您提出的方法吗?谢谢 HOT 1
- about val dataset HOT 2
- Evaluation results of DDT pseudo bbox HOT 1
- 关于贵论文ten_crop的疑问 HOT 2
- 验证集groundtruth mat文件 HOT 1
- How to get the file 'cache_groundtruth.mat' HOT 3
- CUB_test_acc HOT 1
- 你好,实在是打扰,我想知道我怎么获取验证集的xml文件。万分感谢!
- Some questions about load_val_bbox() HOT 3
- Why do I use this PSOL_inference.py directly to get the accuracy rate is always 0 ?Do you have this problem? HOT 2
- Is there any pretrained classification model for CUB? HOT 1
- VGG16-DDT GT Known Loc Accuracy on CUB200 HOT 5
- cache_groundtruth.mat file not found in PSOL Github repository!!!! HOT 2
- python PSOL_inference.py --loc-model {$LOC_MODEL} --cls-model {$CLS_MODEL} {--ten-crop} giving error!!!! HOT 3
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