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07/08/2023
Ariadne's Thread:Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray images
Segmentation of the infected areas of the lung is essential for quantify...
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01/06/2023
Graph Convolution Based Cross-Network Multi-Scale Feature Fusion for Deep Vessel Segmentation
Vessel segmentation is widely used to help with vascular disease diagnos...
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12/20/2022
Multi-head Uncertainty Inference for Adversarial Attack Detection
Deep neural networks (DNNs) are sensitive and susceptible to tiny pertur...
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06/01/2022
Learning Invariant Visual Representations for Compositional Zero-Shot Learning
Compositional Zero-Shot Learning (CZSL) aims to recognize novel composit...
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10/11/2021
Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non-Contrast CT Images
Quantitative estimation of the acute ischemic infarct is crucial to impr...
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06/21/2021
Cross-layer Navigation Convolutional Neural Network for Fine-grained Visual Classification
Fine-grained visual classification (FGVC) aims to classify sub-classes o...
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04/01/2021
DF^2AM: Dual-level Feature Fusion and Affinity Modeling for RGB-Infrared Cross-modality Person Re-identification
RGB-infrared person re-identification is a challenging task due to the i...
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03/11/2021
Duplex Contextual Relation Network for Polyp Segmentation
Polyp segmentation is of great importance in the early diagnosis and tre...
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01/31/2021
Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features
Fine-grained visual classification is a challenging task that recognizes...
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07/10/2020
Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation
Brain midline delineation can facilitate the clinical evaluation of brai...
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02/27/2020
Segmentation-based Method combined with Dynamic Programming for Brain Midline Delineation
The midline related pathological image features are crucial for evaluati...
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03/28/2019
