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# Fine-Grained Visual Classification on CUB-200
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Project Page: [SelfSynthX](https://github.com/sycny/SelfSynthX).
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Paper on arXiv: [Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data](https://arxiv.org/abs/2502.14044)
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This model is a fine-tuned multimodal foundation model developed on the [LLaVA-1.5-7B-hf](https://huggingface.co/llava-hf/llava-1.5-7b-hf) base, optimized for fine-grained visual classification and explainability using the CUB-200 dataset.
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# Fine-Grained Visual Classification on CUB-200
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Project Page: [SelfSynthX](https://github.com/sycny/SelfSynthX).
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Paper on arXiv: [Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data](https://arxiv.org/abs/2502.14044)
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This model is a fine-tuned multimodal foundation model developed on the [LLaVA-1.5-7B-hf](https://huggingface.co/llava-hf/llava-1.5-7b-hf) base, optimized for fine-grained visual classification and explainability using the CUB-200 dataset.
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