
The author proposes a novel pipeline utilizing a diffusion model to address long-tail recognition challenges, achieving state-of-the-art results on various datasets. The approach involves training the diffusion model on the original dataset for sample generation and subsequent classifier training.


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diffult-utilizing-diffusion-model-for-long-tail-recognition


DiffuLT: Utilizing Diffusion Model for Long-tail Recognition


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Long-tail recognition challenges can be addressed effectively by utilizing a diffusion model trained on the original dataset for sample generation, leading to improved classifier performance.


diffult-how-to-utilize-diffusion-model-for-long-tail-recognition


DiffuLT: How to Utilize Diffusion Model for Long-tail Recognition



새로운 파이프라인을 제안하여 장단기 인식을 위한 확산 모델을 유용하게 만드는 방법


diffult-how-to-make-diffusion-model-useful-for-long-tail-recognition


DiffuLT: How to Make Diffusion Model Useful for Long-tail Recognition
