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CatVTON
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Try on clothes virtually with images
RAHARISON Taratra Dimbimandresy
dimbyTa
AI & ML interests
Graph Neural Networks, Reasoning, Algorithmic Reasoning, Computer Vision, NLP.
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After clicking a model, the leaderboard crashed...
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#1 opened 11 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
📄 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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DeepLearning.AI just announced a new short course: Open Source Models with Hugging Face 🤗, taught by Hugging Face's own Maria Khalusova, Marc Sun and Younes Belkada!
As many of you already know, Hugging Face has been a game changer by letting developers quickly grab any of hundreds of thousands of already-trained open source models to assemble into new applications. This course teaches you best practices for building this way, including how to search and choose among models.
You'll learn to use the Transformers library and walk through multiple models for text, audio, and image processing, including zero-shot image segmentation, zero-shot audio classification, and speech recognition. You'll also learn to use multimodal models for visual question answering, image search, and image captioning. Finally, you’ll learn how to demo what you build locally, on the cloud, or via an API using Gradio and Hugging Face Spaces.
Thank you very much to Hugging Face's wonderful team for working with us on this.
You can sign up for the course here: https://www.deeplearning.ai/short-courses/open-source-models-hugging-face/
As many of you already know, Hugging Face has been a game changer by letting developers quickly grab any of hundreds of thousands of already-trained open source models to assemble into new applications. This course teaches you best practices for building this way, including how to search and choose among models.
You'll learn to use the Transformers library and walk through multiple models for text, audio, and image processing, including zero-shot image segmentation, zero-shot audio classification, and speech recognition. You'll also learn to use multimodal models for visual question answering, image search, and image captioning. Finally, you’ll learn how to demo what you build locally, on the cloud, or via an API using Gradio and Hugging Face Spaces.
Thank you very much to Hugging Face's wonderful team for working with us on this.
You can sign up for the course here: https://www.deeplearning.ai/short-courses/open-source-models-hugging-face/
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