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Found 5 papers, 0 papers with code
CoMiX: Cross-Modal Fusion with Deformable Convolutions for HSI-X Semantic Segmentation
Outputs from CMFeX are fed into the FFM for fusion and passed to the next stage for further information learning.
Local-to-Global Cross-Modal Attention-Aware Fusion for HSI-X Semantic Segmentation
The FEM is used to enhance complementary information by combining the feature from the other modality across direction-aware, position-sensitive, and channel-wise dimensions.
Short-term and long-term memory self-attention network for segmentation of tumours in 3D medical images
Tumour segmentation in medical images (especially 3D tumour segmentation) is highly challenging due to the possible similarity between tumours and adjacent tissues, occurrence of multiple tumours and variable tumour shapes and sizes.
Objective Evaluation-based High-efficiency Learning Framework for Hyperspectral Image Classification
This framework comprises two main parts: (i) a leakage-free balanced sampling strategy, and (ii) a modified end-to-end fully convolutional network (FCN) architecture that optimizes the trade-off between accuracy and efficiency.
Hyperspectral Image Classification
Vocal Bursts Intensity Prediction
A Transformer-based Network for Deformable Medical Image Registration
Deformable medical image registration plays an important role in clinical diagnosis and treatment.
