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Quaternion-Valued Correlation Learning for Few-Shot Semantic Segmentation
Few-shot segmentation (FSS) aims to segment unseen classes given only a few annotated samples. Encouraging progress has been made for …
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Weakly supervised semantic segmentation of histological tissue via attention accumulation and pixel-level contrast learning
Objective. Histopathology image segmentation can assist medical professionals in identifying and diagnosing diseased tissue more …
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GDN-CMCF: A Gated Disentangled Network With Cross-Modality Consensus Fusion for Multimodal Named Entity Recognition
Multimodal named entity recognition (MNER) is a crucial task in social systems of artificial intelligence that requires precise …
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Learning from Incorrectness: Active Learning with Negative Pre-training and Curriculum Querying for Histological Tissue Classification
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MV-CDN: Multi-Visual Collaborative Deep Network for Change Detection of Double-Temporal Hyperspectral Images
Since individual neural networks have limited deep expressiveness and effectiveness, many learning frameworks face difficulties in the …
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Point Cloud Plane Segmentation-Based Robust Image Matching for Camera Pose Estimation
The mainstream image matching method for recovering the motion of the camera is based on local feature matching, which faces the …
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Power normalized cepstral robust features of deep neural networks in a cloud computing data privacy protection scheme
Deep Neural Networks (DNNs) have developed rapidly in data privacy protection applications such as medical treatment and finance. …
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Quaternion attention multi-scale widening network for endoscopy image super-resolution
Objective. In the field of endoscopic imaging, Super-Resolution (SR) plays an important role in Manufactured Diagnosis, physicians and …
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Quaternion Cross-modality Spatial Learning for Multi-modal Medical Image Segmentation
Recently, the Deep Neural Networks (DNNs) have had a large impact on imaging process including medical image segmentation, and the …
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RBA-GCN: Relational Bilevel Aggregation Graph Convolutional Network for Emotion Recognition
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RBA-GCN: Relational Bilevel Aggregation Graph Convolutional Network for Emotion Recognition