It is based on the Segment Anything Model (SAM) by MetaAI. It uses a Low Rank Adaptation to finetune the model for a specific task. This model can be used for 'pixel classification'. By default, this model will be loaded with a vit_b backbone. vit_h or vit_l backbone can be ...
2. SAM Model Adaptation Focuses fine-tuning efforts on the mask decoder of SAM to refine its segmentation capabilities specifically for mitochondrial structures. Maintains the integrity of the image and prompt encoders by freezing their weights to preserve the model's broad segmentation abilities. 3....
碾压LLaMA 2,性能直逼GPT-4 SAM-Med2D:打破自然图像与医学图像的领域鸿沟,医疗版 SAM 开源了! GhostSR|针对图像超分的特征冗余,华为诺亚&北大联合提出GhostSR Meta推出像素级动作追踪模型,简易版在线可玩 | GitHub 1.4K星 CSUNet | 完美缝合Transformer和CNN,性能达到UNet家族的巅峰! AI最全资料汇总 | 基础...
These models such as Segment Anything Model (SAM) are generalized models trained using huge datasets. Currently, ongoing research focuses on exploring the effective utilization of these generalized models for Specific domains, such as medical imaging. However, in medical imaging, the lack of training...
SAM-Med2D:打破自然图像与医学图像的领域鸿沟,医疗版 SAM 开源了! GhostSR|针对图像超分的特征冗余,华为诺亚&北大联合提出GhostSR Meta推出像素级动作追踪模型,简易版在线可玩 | GitHub 1.4K星 CSUNet | 完美缝合Transformer和CNN,性能达到UNet家族的巅峰! ...
【中英+笔记】2024.10.20 | 探索 Meta 的最新系列 AI 模型 | SAM 2.1、 Spirit LM、MEXMA 10:22 2024.10.16 | Aria -- 比 GPT-4o 更好, 新的开源 AI 震惊业界!| Aria 是 Rhymes AI 开发的一种新的开源 AI 08:25 2024.10.16 | 本周热门AI工具 | 情感 AI 女朋友聊天 | 免费、人工智能驱动...
SAM[69]提出了一种二阶近似方法,该方法用可分析求解的优化函数来近似原始问题,以帮助确定参数掩码。Child-tuning[70]提出了两种在每次训练迭代期间选择子网络的方法,其中仅可以更新该子网络内的参数。 图7:两种参数屏蔽方法的图示。 然而,上述非结构化参数掩码会导致非零掩码分布不均匀,并在实现 PEFT 时降低硬件效...
Our experiments show that retaining the parameters of the SAM model (including most of the decoder) in their original state during adaptation is beneficial because fine-tuning on small datasets tends to distort the inherent capabilities of the underlying foundation model. On Fed-KiTS, our approach ...
锐度感知最小化(Sharpness-Aware Minimization,简称SAM)是一种优化策略,旨在改善深度学习模型的泛化能力。该策略的核心思想是在训练过程中同时最小化损失函数的值和损失函数的锐度,也就是损失函数在最小值点的曲率。在深度学习中,损失函数的最小值点代表了模型在训练数据上的预测结果,而锐度则与模型在这些点的敏感度...
Fine-tuning (微调) 是一个可以有效让ChatGPT 输出符合我们预期的方法。最近OpenAI 发表了GPT-3.5 模型的微调功能。在这一篇介绍文中,我们会先介绍微调的概念,接着讲解OpenAI 的Fine-tuning API 如何使用,最后会有实际的范例来讲解可以如何做好微调这件事。