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☁️☔ New Research Alert! ❄️🌙
☁️☔ New Research Alert! ❄️🌙
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📄 Title: CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt Tuning
📄 Title: CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt Tuning
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📝 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.
📝 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.
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👥 Authors: Ziyang Gong, Fuhao Li, Yupeng Deng, Deblina Bhattacharjee, Xiangwei Zhu, Zhenming Ji
👥 Authors: Ziyang Gong, Fuhao Li, Yupeng Deng, Deblina Bhattacharjee, Xiangwei Zhu, Zhenming Ji
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🔗 Paper: 
🔗 Paper: 
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https://huggingface.co/papers/2403.17369
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2403.17369
https://huggingface.co/papers/2403.17369
CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual
  Prompt Tuning (2403.17369)
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📁 Repository: 
📁 Repository: 
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https://github.com/Cuzyoung/CoDA
https://github.com/Cuzyoung/CoDA
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📚 More Papers: more cutting-edge research presented at other conferences in the 
📚 More Papers: more cutting-edge research presented at other conferences in the 
resource
https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers
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DmitryRyumin/NewEraAI-Papers
https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers
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 curated by 
 curated by 
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@DmitryRyumin
DmitryRyumin
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🔍 Keywords: #CoDA #DomainAdaptation #VisualPromptTuning #SAVPT #DeepLearning #Innovation
🔍 Keywords: #CoDA #DomainAdaptation #VisualPromptTuning #SAVPT #DeepLearning #Innovation
☁️☔ 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: https://huggingface.co/papers/2403.17369

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

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

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