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Found 14 papers, 6 papers with code
MMCBE: Multi-modality Dataset for Crop Biomass Estimation and Beyond
Addressing this gap, we introduce a new dataset in this domain, i. e. Multi-modality dataset for crop biomass estimation (MMCBE).
Latent-based Diffusion Model for Long-tailed Recognition
We propose a new approach, the Latent-based Diffusion Model for Long-tailed Recognition (LDMLR), as a feature augmentation method to tackle the issue.
Backpropagation-free Network for 3D Test-time Adaptation
Here, we propose a novel method that uses a backpropagation-free approach for TTA for the specific case of 3D data.
Spatial Transcriptomics Analysis of Zero-shot Gene Expression Prediction
Spatial transcriptomics (ST) captures gene expression within distinct regions (i. e., windows) of a tissue slide.
Cross-modal and Cross-domain Knowledge Transfer for Label-free 3D Segmentation
Current state-of-the-art point cloud-based perception methods usually rely on large-scale labeled data, which requires expensive manual annotations.
Thoracic Cartilage Ultrasound-CT Registration using Dense Skeleton Graph
To address this challenge, a graph-based non-rigid registration is proposed to enable transferring planned paths from the atlas to the current setup by explicitly considering subcutaneous bone surface features instead of the skin surface.
Skeleton Graph-based Ultrasound-CT Non-rigid Registration
Autonomous ultrasound (US) scanning has attracted increased attention, and it has been seen as a potential solution to overcome the limitations of conventional US examinations, such as inter-operator variations.
Heterogeneous Graph-Based Multimodal Brain Network Learning
Other experiments also indicate that our proposed model with a pretraining strategy alleviates the problem of limited labelled data and yields a significant improvement in accuracy.
Weight Encode Reconstruction Network for Computed Tomography in a Semi-Case-Wise and Learning-Based Way
In the generalization test of the model, the encoder is transferable from a voxel set with complex structure to the unseen cases without the deduction of the accuracy.
Hyperspectral Image Classification Method Based on 2D–3D CNN and Multibranch Feature Fusion
Then, by means of the multibranch neural network, three kinds of features from shallow to deep are extracted and fused in the spectral dimension.
Efficient and accurate object detection with simultaneous classification and tracking
To satisfy both requirements, we propose a detection framework based on simultaneous classification and tracking in the point stream.
Real-time 3D object proposal generation and classification under limited processing resources
The task of detecting 3D objects is important to various robotic applications.
Context-Aware Dynamic Feature Extraction for 3D Object Detection in Point Clouds
Varying density of point clouds increases the difficulty of 3D detection.
Three-dimensional Backbone Network for 3D Object Detection in Traffic Scenes
The task of detecting 3D objects in traffic scenes has a pivotal role in many real-world applications.
