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Hi ,
I have created the dataset as per the readme and when I run `train_sheep_localizer.py ` as in following command :
`python /home/rahul/ActiveShuttle/WSOL/LOANS/loans-master/train_sheep_loca…
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Hi ,
Thanks for sharing the code.
When calculating Peak-IoU, did you apply CRF or ConvCRF on localization map as SEM?
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Hello! First of all, you did a great job! Congratulations! Second, I have three questions I'd like to ask you about running the code.
1. First, in the case of WSOL, I didn't find the test file test…
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你好,关于您论文中提到的分类损失我没太弄清楚,该损失函数的主要作用是什么,我在某一数据集上去掉该损失函数后,分类准确率能够达到和加上辅助损失函数一样的准确率,但生成的CAM效果较差,而后者生成的效果较好,这个辅助损失函数对生成CAM的质量有积极影响吗,您能解释下吗,谢谢
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great work. thank you for sharing this source.
But i have a little question about the parameter of large feature map and boxaccv2 score in CUB dataset.
1. I found that `large_feature_map` paramete…
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Thanks for your timely reply, but the Top-k Loc and GT-Loc metrics have been inclueded in the article.
So how can i reproduce these metric's result ? Or the version that can be used t…
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I am interested in your work. But after reading the repositories, I found myself fuzzy with how to reproduce the results of Top-1, Top-5, and GT-Loc announced in the paper. Can you provide me with the…
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Hello author, I have read your paper and find it very inspiring! Here is my question:
when I test the code which you use to generate gt_bbox :
def load_val_bbox(label_dict,all_imgs,gt_location):
…
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When generate cam, you use the ground truth label to get the channel weight of fully connected layer. But I think the predict class of model is the right choice.