Segmentation of the infected areas of the lung is essential for quantify...
Vessel segmentation is widely used to help with vascular disease diagnos...
Deep neural networks (DNNs) are sensitive and susceptible to tiny
pertur...
Compositional Zero-Shot Learning (CZSL) aims to recognize novel composit...
Quantitative estimation of the acute ischemic infarct is crucial to impr...
Fine-grained visual classification (FGVC) aims to classify sub-classes o...
RGB-infrared person re-identification is a challenging task due to the
i...
Polyp segmentation is of great importance in the early diagnosis and
tre...
Fine-grained visual classification is a challenging task that recognizes...
Brain midline delineation can facilitate the clinical evaluation of brai...
The midline related pathological image features are crucial for evaluati...
Modern approaches for semantic segmentation usually employ dilated
convo...