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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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Vulnerable Library - gradio-3.4b2-py3-none-any.whl
Python library for easily interacting with trained machine learning models
Library home page: https://files.pythonhosted.org/packages/72/63/197bb7a…
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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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## Location
* Remote
## Salary Expectation
* upto $15.000
## Requirements
Requirements
Bachelor's degree in Computer Science, Engineering, or a related field. A Master's or Ph.D. degree …
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Hi, thanks for your great work.
I have a question after reading the paper and …
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ReID implementation on Jetson https://github.com/anonymous1computervision/Human-ReID-in-NVIDIA-Jetson
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Oral:
- [x] Self-Similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-Identification Yang Fu, Yunchao Wei, Guanshuo Wang, Yuqian Zhou, Honghui Shi, Thomas S. Hu…
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## About
At [^1][^2], we shared a few notes about time series anomaly detection, and forecasting/prediction. Other than using traditional statistics-based time series forecasting methods like [Holt…
amotl updated
5 months ago
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Please post here interesting papers, possibly with a brief description of technique and results (improvement).