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This mistake is really strange... I follow [the readme](https://github.com/ashkamath/mdetr/blob/main/.github/clevr.md) for training MDETR on CLEVR.
Firstly, I've ran the following command:
```
pyth…
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In the code, it seems that u didn't calculate the text_prototype alignment loss. As in the initialize of Contrastive_loss, the text_prototype is setting default as False. (self.loss = losses.contrasti…
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`# Compute loss
if scl == True:
cross_loss = loss_fn(logits, b_labels)
contrastive_l = contrastive_loss(tem, hiden_state.cpu().detach().numpy(), b_labels…
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the example [examples/training/quora_duplicate_questions/training_multi-task-learning.py](https://github.com/UKPLab/sentence-transformers/blob/master/examples/training/quora_duplicate_questions/traini…
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Hi, Cheng Hao,
Congratulations! This paper made a huge contribution to the continuous learning of stereo matching and inspired me a lot.
Recently, I've been trying to reproduce your work, and I've r…
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- https://arxiv.org/abs/2103.16748
- 2021
Generative Adversarial Networks (GAN)は、大規模な画像データセットを用いて無条件に画像を生成する際に素晴らしい結果を出す。
しかし、生成された画像は、特に分散性の高いデータセット(寝室や教会など)では、まだ見分けがつきにくい。
本論文では、画像生成の限界をさらに押し広…
e4exp updated
3 years ago
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As the title says, I can not find the contrastive learning loss in your codebase.
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Hello, thanks for your incredible work!
In the 'Accurate ID Loss' section in the bottom right corner of Figure 2 of the paper, there are two generated images both denoted as 'predict x_0'. Are both…
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I have a question regarding the weights used in CAV-MAE. It seems like the $\lambda_c$ could play an important role in the optimization. I understand it is due to the gradient scale but It is surprisi…
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When I used the contrastive_loss_layer for deepid2,
I met a strange failure:
F0504 15:43:11.065735 22324 layer.hpp:375] Check failed: ExactNumBottomBlobs() == bottom.size() (4 v…