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Hi,
The paper said "The whole training framework follows the contrastive learning framework" as the paper "Supervised Contrastive Learning", but I cannot find the corresponding loss function in the…
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Hi, I'm a newbie to contrastive learning and I'm sorry to bother you again. I have doubts about the implementation of `contrastive_loss` in `mmseg/models/losses/contrastive_loss.py`.
I have notice…
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When I tried to make -j, it reports the same error all the time. I have tried to downgrade gcc to 4 or 5, but it's not working. I have no idea what's going on...
`CXX src/caffe/layers/contrastive_l…
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I don't think I completely understand this part of the code:
```
distance = Lambda(cosine_distance,
output_shape=cosine_distance_output_shape)([vector_left, vector_right])
…
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how about add contrastive learning loss?
example in Figure, vl looks like learning color and vr looks like learning shape. so , vl between color relative words as positive. others words coule as neg…
yja1 updated
3 months ago
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Good day,
Please, I'm having a problem setting up the caffe, because I get an error from the constrative_loss file, is like their is something wrong with file and how do I fix. thank you and I wait …
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Hello,
In the paper it is stated that
> ... given a random list of n documents [d1, d2, ..., dn], we extract randomly from each a pair of spans, [s11, s12, ..., sn1, sn2].
I was wondering how t…
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### Background
Currently, the progressive learning network transformer is learned as a byproduct of optimizing the softmax objective loss for classification accuracy.
Contrastive loss ([referenc…
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Hi!
Why do you use the theshold (0.5) in cal_CIoU, although the training doesn't give any information about the 0.5? In other words, is it just from the hyp-param tunning, or reasoned from mathemat…
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### Feature request
In the current version of the transformers library's Trainer class, the model can only report a total loss during the training and evaluation stages. However, in practical applica…