Comments (2)
tzzcl
commented on July 29, 2024
你好，使用Ten Crop的做法一般在较早的模型中如VGG，InceptionV3会进行应用（为了提高分类准确率）。而在较近代的模型如ResNet中，大家一般就不使用Ten Crop了。在本文中，我们为了保持与之前WSOL文章的设置一样，对所有分类模型使用了Ten Crop。
但，ResNet50使用single-crop与ten-crop差距不大，Single Crop是76.2（76.15）。Ten Crop大概是76.6-76.7左右。
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ustcjinggg
commented on July 29, 2024
原来如此，感谢你的回答！
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Related Issues (20)
- When will training codes be available? HOT 3
- How to get the file 'cache_groundtruth.mat' HOT 3
- 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
- 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
- A question about the evaluation criterion on ILSVRC HOT 2
- 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
- 验证集groundtruth mat文件 HOT 1
- CUB_test_acc HOT 1
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