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Hi, author. What are the mIoUs in the final segmentation results that did not using the SAM for the post processing in V3+ and SwinL, respectively? And also I want to know, what are the mIoUs in final…
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Hello, the pipeline proceeded to the following step then got killed. Is it again a RAM problem? I tried to run it twice and for the second time the server had ~600Gb of free RAM.
2024-05-28 20:45:3…
melop updated
3 weeks ago
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Hello my dear Sir,
how can we code a knn crf (or svm ) using the project?
with sklearn, we do something like this:
from sklearn import neighbors
clf = neighbors.KNeighborsClassifier(n_neig…
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Hi, thank you for your promising work! I have a few questions about the surface normals priors. Do they play a significant role in the model's performance? If I use a different monocular metric depth …
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Conditional Random Field (CRF) is a basic model of natural language processing, which is widely used in word segmentation, named entity recognition, part-of-speech tagging and other tagging scenarios.…
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Try to run your code for trainning on your dataset. When code goes to warm_crf, error occurred: Generator type has no operator "+";
While, you just add with "+" `model.exps_linears_r.parameters() …
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Hi! Thank you for your work! Does 'inference.py' contain CRF?
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from torchcrf import CRF
这个torrchcrf 是作者大大自己写的库,还是可以下载到的呢?
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Hello, may I ask if there is no CRF refinement in these codes?I saw that the paper mentioned the refinement of the segmentation results, but I didn't find it in the code
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有知道为什么结果的loss很大,都是十几呢?正确率却挺高的。
loss: 17.5805 - crf_viterbi_accuracy: 0.9911 - val_loss: 15.6539 - val_crf_viterbi_accuracy: 0.8773
loss: 17.5799 - crf_viterbi_accuracy: 0.9915 - val_loss: 15.6227 …