Comments (4)
The eval.sh is provided to reproduce the results reported in the paper. For RefCOCO, we report the results on val/testA/testB splits.
We need to evaluate the performance on the manually annotated val/test for fair comparison with other methods. Thus, the pseudo samples are only used in training.
You can download the manually annotated val/test from this link.
from pseudo-q.
Then, unc_testA.pth, unc_testB.pth, unc_val.pth files mean the manually annotated val/test datasets?
Also, I try to reproduce the results on RefCOCO+, RefCOCOg and other datasets.
How can I get the unc+_train_imagelist_split.txt files?
from pseudo-q.
Yes, val/testA/testB are manually annotated which are original data from each dataset. The pseudo samples are only used in training.
The download link for detection results and unc+_train_imagelist_split.txt files are already provided in the README.md.
from pseudo-q.
Oh, I got it.
Thanks for your quick reply!
from pseudo-q.
Related Issues (18)
- More details about choosed pre-trained detector and attribute classifier on Visual Genome dataset. HOT 1
- About getting detection and attribute results by your own HOT 9
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- A work (RSVG) that is very similar to yours but did not cite your work. HOT 1
- RuntimeError: CUDA error: CUBLAS_STATUS_ALLOC_FAILED when calling `cublasCreate(handle)` HOT 9
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- Clarification about the loss HOT 1
- 您好,我想学习这篇论文,在代码运行方面出现了点问题,还请您指教 HOT 14
- 关于生成伪标注的问题 Regarding the Issue of Generating Pseudo-label HOT 2
- 作者您好,请问能不能对数据集目录部分描述再详细一点,谢谢。Could author provide more detailed descriptions about the dataset folder? HOT 82
- Inference API HOT 1
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