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Every Breath You Don't Take: Deepfake Speech Detection Using Breath
https://arxiv.org/abs/2404.15143
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Diffusion Deepfake
https://arxiv.org/abs/2404.01579
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[UAMD-Net: A Unified Adaptive Multimodal Neural Network for Dense Depth
Completion](https://arxiv.org/pdf/2204.07791.pdf)
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https://arxiv.org/pdf/1702.05464.pdf
Adversarial learning methods are a promising approach to training robust deep networks, and can generate complex samples across diverse domains. They also can i…
leo-p updated
7 years ago
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## Problem statement
1. Despite the impressive capabilities of large scale language models, the potential to modalities has not been fully demonstrated other than text.
2. Aligning parameters of vi…
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[The format of the issue]
Paper name/title:
Paper link:
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keywords:
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# 💻 cs
## 📚 mask (total: 9)
### 📃 Deep Pneumonia: Attention-Based Contrastive Learning for Class-Imbalanced Pneumonia Lesion Recognition in Chest X-rays
- **Authors:** Xinxu Wei, Haohan Bai, Xianshi …
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For purposes of utterance encoding, gesture encoding and facial expression encoding, we shall first appeal to a nonlinear solver technique for extracting the relevant features due to what is expected …
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# URL
- https://arxiv.org/abs/2309.15427
# Affiliations
- Yijun Tian, N/A
- Huan Song, N/A
- Zichen Wang, N/A
- Haozhu Wang, N/A
- Ziqing Hu, N/A
- Fang Wang, N/A
- Nitesh V. Chawla, N/A…
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hi author, thank for your excellent work. i was confused when i reading the code where s_enc also contribute information flow to biological state c. Isnt biological state only accept information flow…