2024年2月28日 · To alleviate this sensitivity and improve the model’s performance in FAS cross-domain tasks, we propose a new approach called Masked Frequency Autoencoders (MFAE). MFAE randomly masks a portion of frequencies on the low-frequency spectrum of the image and then reconstructs the image from the resulting embedding.

To alleviate this sensitivity and improve the model’s performance in FAS cross-domain tasks, we propose a new approach called Masked Frequency Autoencoders (MFAE). MFAE randomly masks a portion of frequencies on the low-frequency spectrum of the image and then reconstructs the image from the resulting embedding.

2024年8月1日 · MFAE first uses an improved dynamic routing algorithm to extract more comprehensive semantic visual entity features. Then, a graph matching network is used to capture the correspondences between entities within modalities. The experiment shows that MFAE is capable of capturing textual and visual semantic information more comprehensively.

2024年2月28日 · 为了减轻这种敏感性并提高模型在 FAS 跨域任务中的性能，我们提出了一种称为掩蔽频率自动编码器（MFAE）的新方法。 MFAE 随机屏蔽图像低频频谱上的一部分频率，然后根据所得嵌入重建图像。 这种创新的掩模图像建模 (MIM) 策略可用作预训练视觉变换器 (ViT) 的自监督任务，这可以降低 ViT 编码器对域移位的敏感度。 此外，我们在 MFAE 中添加了一个辅助内容正则化解码器，以鼓励编码器对低频特征不敏感。 结果表明，该模型对低频特征不敏感，在 …

MFAE: Duplicate Question Identification with Multi-Fusion Asking Emphasis". Please cite our paper when you use this program! 😍 This paper has been accepted to the conference "SIAM International Conference on Data Mining (SDM20)".

MFAE-YOLO is an object detection method for aerial remote sensing images Resources

多种类型的多视图空间变换信息的聚合是一个关键问题。因此，我们提出了一种称为多视图特征增强神经网络（mfae）的知识图嵌入方法，它涉及三个组件：多视图空间变换，特征融合卷积和特征信息增强。

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MFAE: Multilevel Feature Aggregation Enhanced Drug-Target Affnity Prediction for Drug Repurposing against Colorectal Cancer. This research introduces the first comprehensive drug-target affnity dataset for CRC-specific targets, P2X4 and mTOR. Utilizing a novel deep learning MFAE model, specific inhibitors are systematically sourced from ChEMBL.

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