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In 4.3 "In-domain Generalization", How do you design your various partitions of training data? Are this step in phrase of TLR or FIT or both them?
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https://arxiv.org/pdf/2111.06531.pdf
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I have used **Xception** model trained on the full **DF40** dataset (downloaded the checkpoint) and tested it on some methods of **FS** (blendface, e4s, fsgan) using the appropriate json file for each…
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I have trained the model on imagenet and want to validate it on the other four variants. But I didn't find the relevant xd_test.bash file, could you provide it?
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Dear Jia @yurujaja and Obukhov @toshas
I hope this message finds you well. Congratulations on your acceptance to ECCV 2024!
I am currently working on a domain generalization project on the `Cit…
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Hi, @samotiian , thank you for your implementation. With respect to the code, could you please upload the code for domain generalization? It would be great help for reproducing the experiment results.…
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Can I use this to train voc dataset
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Hi, I tried to validate the market1501 dataset and last dataset using your lrcc model and prcc model, but got extremely low map and top1 accuracy:
Model Market1501 L…
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## タイトル: S4DL: ハイパースペクトル画像の教師なしドメイン適応のためのシフト感度型空間スペクトル分離学習
## リンク: https://arxiv.org/abs/2408.15263
## 概要:
ハイパースペクトル画像(HSI)分類で広く研究されている教師なしドメイン適応技術は、ラベル付きのソースドメインデータとラベルなしのターゲットドメインデータを使用して、シーン横断分…
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## 論文リンク
https://arxiv.org/abs/1810.00740
## 公開日(yyyy/mm/dd)
2018/10/01
## 概要
adversarial training は汎化性能(この文脈では言葉の使い方が少し難しいが、test の adversarial example に対する精度と test の clean data に対する精度があり、前者の…