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Name: Qin Yang
Type: User
Company: Sichuan University
Bio: I am studying for a PhD at Sichuan University.
Name: Qin Yang
Type: User
Company: Sichuan University
Bio: I am studying for a PhD at Sichuan University.
This is a summary of research on noisy correspondence. There may be omissions. If anything is missing please get in touch with us. Our emails: [email protected] [email protected] [email protected]
Cross-modal Active Complementary Learning with Self-refining Correspondence (NeurIPS 2023, Pytorch Code)
Deep Evidential Learning with Noisy Correspondence for Cross-modal Retrieval ( ACM Multimedia 2022, Pytorch Code)
Keras community contributions
Noisy-Correspondence Learning for Text-to-Image Person Re-identification (CVPR 2024 Pytorch Code)
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Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
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Data-Driven Documents codes.
China tencent open source team.