Hyperdimensional Perception and Frontier Security Intelligence Laboratory
Hyperdimensional Perception and Frontier Security Intelligence Laboratory
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Guo Zhong
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PFPS: Polymerized Feature Panoptic Segmentation Based on Fully Convolutional Networks
The Structure-sharing Hypergraph Reasoning Attention Module for CNNs
Visual-linguistic Diagnostic Semantic Enhancement for medical report generation
Black-Box Reversible Adversarial Examples with Invertible Neural Network
Progressive normalizing flow with learnable spectrum transform for style transfer
Psanet: Prototype-Guided Salient Attention for Few-Shot Segmentation
RM-UNet: UNet-like Mamba with Rotational SSM Module for Medical Image Segmentation
Triangular Chain Closed-Loop Detection Network for Dense Pedestrian Detection
Weakly supervised semantic segmentation via saliency perception with uncertainty-guided noise suppression
QGD-Net: A Lightweight Model Utilizing Pixels of Affinity in Feature Layer for Dermoscopic Lesion Segmentation
QMLS: quaternion mutual learning strategy for multi-modal brain tumor segmentation
SCDet: decoupling discriminative representation for dark object detection via supervised contrastive learning
IDA-Net: Inheritable Deformable Attention Network of structural MRI for Alzheimer’s Disease Diagnosis
Improving breast tumor segmentation via shape-wise prior-guided information on cone-beam breast CT images
Weakly supervised semantic segmentation of histological tissue via attention accumulation and pixel-level contrast learning
GDN-CMCF: A Gated Disentangled Network With Cross-Modality Consensus Fusion for Multimodal Named Entity Recognition
Learning from Incorrectness: Active Learning with Negative Pre-training and Curriculum Querying for Histological Tissue Classification
Quaternion Cross-modality Spatial Learning for Multi-modal Medical Image Segmentation
RBA-GCN: Relational Bilevel Aggregation Graph Convolutional Network for Emotion Recognition
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