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I am very interested in your recent paper and would like to understand how it was implemented. Could you please let me know when the code will be released?
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Hello,
I am wondering if you are still updating the paper list for contrastive learning?
Best,
Jizong
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- https://arxiv.org/abs/2104.14548
- 2021
インスタンス判別に基づく自己教師付き学習アルゴリズムは、同じインスタンスの事前定義された変換に対して不変であるようにエンコーダを訓練します。
多くの手法では、同じ画像の異なるビューをコントラスト損失のためのポジティブとして扱いますが、我々はデータセット内の他のインスタンスからのポジティブを使用することに興…
e4exp updated
3 years ago
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According to the paper, the step 2 should perform self-supervised learning with contrastive learning objective. However, in the script _train_front_door_tr.py_ and _fine_tuning_tr.py_ , the dataset gr…
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https://github.com/PatrickHua/SimSiam/blob/fca181ed52274088fb39b92f3a9a57f97858e5d3/models/byol.py#L84
I am trying to apply different contrastive learning algorithms to some other fields. I found y…
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May you share the code about `CV-MIM: Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization`?
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Hi, I found that the loss used in this repo is a cross-entropy loss between prediction and mask.
`loss = F.binary_cross_entropy_with_logits(pred, mask)`
But the loss mentioned in the paper is a …
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Hi Mai,your job,Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis,is very excelent. I had some question of it. Could you please share the source code?
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When I replaced the dataset, which was not present in the paper, the result was very poor.
┃ Epoch ┃ LOSS ┃ ACC ┃ MF1 ┃ KAPPA ┃ LOSS ┃ ACC ┃ MF1 ┃ KAPPA ┃
┡━━━━━━━╇━━━━━━━━╇━━━━━━━━…
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Can we share the pre-train encoder model so that we don't need to re-train it from scratch?
Thanks.