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您好，最近仔细阅读了方案报告，关于方案中提到的在LXMERT中Multi-Similarity Loss，与Cross Entropy Loss 组成多任务学习网络，具体的实现是在哪个文件中？只找到了关于imagebert的train，LXMERT的train在哪里？望尽快回复
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Hello, I would like to ask about the keypoint loss issue in YOLOPose, which is crucial for me. From the source code, we can see that in the loss.py file, it uses exp(-e), but there is no negative sign…
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1.Learning to Reconstruct 3D Human Pose and Shape via Model-fitting in the Loop（2019）
collaborate regression-based (as initial pose) and iterative optimization-based approach.
code: No
2.Weakly S…
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关于multi-label text classification的问题，用何种方式来评估模型的好坏最好呢？我看你用的是precision_score, recall_score, f1_score, roc_auc_score, average_precision_score。那么其他的评估方法可以吗？比如说hamming_loss，zero_one_loss，jaccard_similarit…
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whhich model do you upload to OpenXlab? can you share the training details?
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Hi there, thanks for sharing the code and beautifule work!
In multi_similarity_loss.py line 35 ：
` pos_pair_ = pos_pair_[pos_pair_ < 1 - epsilon] `
why do we need this code ?
And what's the logi…
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Hello, regarding the prediction layer formula 5 in the Mamba4Rec paper,
$\hat{y} = Softmax(Linear(h)) \in \mathbb{R}^{| \mathcal{V} |}$
I think there is a problem as follows: the calculation of th…
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It seems like you are using CLIP with 4 possible textual description and then use cosine similarity for classification, just like CLIP. However, unlike CLIP where the cardinality of the labels, i.e., …
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In cases where limited data are available, it might be possible that samples are labelled in different aspects. In such a case, it might be beneficial to use a multi-objective loss, i.e., a utilit…
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Hello, I want to know what the 'low_order' and 'high_order' represent in the 'similarity' function in models.py and how to set the 'high_k'?
I also wonder which parts of the codes present the L_c…