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Multi-Label Chest X-Ray Image Classification With Single Positive Labels
Deep learning approaches for multi-label Chest X-ray (CXR) images classification usually require large-scale datasets. However, …
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NGQR: A Novel Generalized Quantum Image Representation
To address the size limitations of existing quantum image models in terms of accurate image representation, as well as inaccurate …
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OFGST-Swin: Swin Transformer Utilizing Overlap Fusion-Based Generalized S-Transform for Respiratory Cycle Classification
Respiratory diseases pose a massive threat to human health; thus, early diagnosis and treatment are essential. Although electronic …
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Pattern-based quantum text watermarking: Securing digital content with next-Gen quantum techniques
As pioneers of next-generation watermarking technologies, quantum methods offer advanced solutions for securing digital text …
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Progressive normalizing flow with learnable spectrum transform for style transfer
Most current style transfer models are designed as encoder–decoder structures. Some encoding operations, such as downsampling and …
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Psanet: Prototype-Guided Salient Attention for Few-Shot Segmentation
Few-shot semantic segmentation aims to learn a generalized model for unseen-class segmentation with just a few densely annotated …
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Recognition of Score Words in Freestyle Kayaking Using Improved DTW Matching
Voice is the most natural information carrier for human beings, and is likely to become the main method of human–computer interaction …
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RM-UNet: UNet-like Mamba with Rotational SSM Module for Medical Image Segmentation
Accurate segmentation of tissues and lesions is crucial for disease diagnosis, treatment planning, and surgical navigation. Yet, the …
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Triangular Chain Closed-Loop Detection Network for Dense Pedestrian Detection
Pedestrian detection has become an important topic in applications such as automatic driver assistance systems for automobiles and …
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Weakly supervised semantic segmentation via saliency perception with uncertainty-guided noise suppression
Weakly Supervised Semantic Segmentation (WSSS) has become increasingly popular for achieving remarkable segmentation with only …
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