ZiYang Gong

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reacted to DmitryRyumin's post with ❤️🔥👍 9 months ago

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☁️☔ New Research Alert! ❄️🌙
📄 Title: CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt Tuning

📝 Description: CoDA is a UDA methodology that boosts models to understand all adverse scenes (☁️,☔,❄️,🌙) by highlighting the discrepancies within these scenes. CoDA achieves state-of-the-art performances on widely used benchmarks.

👥 Authors: Ziyang Gong, Fuhao Li, Yupeng Deng, Deblina Bhattacharjee, Xiangwei Zhu, Zhenming Ji

🔗 Paper: CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt Tuning (2403.17369)

📁 Repository: https://github.com/Cuzyoung/CoDA

📚 More Papers: more cutting-edge research presented at other conferences in the DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin

🔍 Keywords: #CoDA #DomainAdaptation #VisualPromptTuning #SAVPT #DeepLearning #Innovation

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