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Found 4 papers, 3 papers with code
TFS-ViT: Token-Level Feature Stylization for Domain Generalization
This paper presents a first Token-level Feature Stylization (TFS-ViT) approach for domain generalization, which improves the performance of ViTs to unseen data by synthesizing new domains.
Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation
Most of the existing methods, especially UNet-based networks, integrate low-level and high-level features in a naive way, which may result in confusion for the model.
DFNet: Discriminative feature extraction and integration network for salient object detection
To address the second challenge, we propose an Attention-based Multi-level Integrator Module to give the model the ability to assign different weights to multi-level feature maps.
CAGNet: Content-Aware Guidance for Salient Object Detection
Beneficial from Fully Convolutional Neural Networks (FCNs), saliency detection methods have achieved promising results.
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