3 accepted papers
Accurate segmentation of aortic vascular structures is critical for diagnosing and treating cardiovascular diseases. Traditional Transformer-based models have shown promise in this domain by capturing long-range dependencies between vascular features. However, their reliance on fixed-size rectangul
Inconsistency of distributions in human actions and camera viewpoints can lead to significant deviations when the pre-trained 3D pose estimators are tested on cross-datasets. In practical applications, the estimators usually follow the standard full fine-tuning paradigm on the target dataset, which…
Underwater Image Restoration (UIR) remains a challenging task in computer vision due to the complex degradation of images in underwater environments. While recent approaches have leveraged various deep learning techniques, including Transformers and complex, parameter-heavy models to achieve signifi…