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3D Classification
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
3D Brain MRI Classification for Alzheimer Diagnosis Using CNN with Data Augmentation
MedCAM-OsteoCls: Medical Context Aware Multimodal Classification of Knee Osteoarthritis
MVIP -- A Dataset and Methods for Application Oriented Multi-View and Multi-Modal Industrial Part Recognition
Text-guided Synthetic Geometric Augmentation for Zero-shot 3D Understanding
RW-Net: Enhancing Few-Shot Point Cloud Classification with a Wavelet Transform Projection-based Network
Point-GR: Graph Residual Point Cloud Network for 3D Object Classification and Segmentation
Peritumoral Expansion Radiomics for Improved Lung Cancer Classification
Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net
PointNet with KAN versus PointNet with MLP for 3D Classification and Segmentation of Point Sets
MIRACLE 3D: Memory-efficient Integrated Robust Approach for Continual Learning on Point Clouds via Shape Model construction
Hyperbolic Image-and-Pointcloud Contrastive Learning for 3D Classification
Improving 3D Semi-supervised Learning by Effectively Utilizing All Unlabelled Data
Formula-Supervised Visual-Geometric Pre-training
Analyzing the Effect of $k$-Space Features in MRI Classification Models
Computer Vision Intelligence Test Modeling and Generation: A Case Study on Smart OCR
Continual Learning in 3D Point Clouds: Employing Spectral Techniques for Exemplar Selection
GS-PT: Exploiting 3D Gaussian Splatting for Comprehensive Point Cloud Understanding via Self-supervised Learning
ConDense: Consistent 2D/3D Pre-training for Dense and Sparse Features from Multi-View Images
Multi-SIGATnet: A multimodal schizophrenia MRI classification algorithm using sparse interaction mechanisms and graph attention networks
P3P: Pseudo-3D Pre-training for Scaling 3D Voxel-based Masked Autoencoders
PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders
DC3DO: Diffusion Classifier for 3D Objects
AXIAL: Attention-based eXplainability for Interpretable Alzheimer's Localized Diagnosis using 2D CNNs on 3D MRI brain scans
Diff3Dformer: Leveraging Slice Sequence Diffusion for Enhanced 3D CT Classification with Transformer Networks
Adapter-X: A Novel General Parameter-Efficient Fine-Tuning Framework for Vision
No Captions, No Problem: Captionless 3D-CLIP Alignment with Hard Negatives via CLIP Knowledge and LLMs
Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation
MM-Mixing: Multi-Modal Mixing Alignment for 3D Understanding
SE3D: A Framework For Saliency Method Evaluation In 3D Imaging
MiniGPT-3D: Efficiently Aligning 3D Point Clouds with Large Language Models using 2D Priors
Deep Models for Multi-View 3D Object Recognition: A Review
Leveraging Deep Learning and Xception Architecture for High-Accuracy MRI Classification in Alzheimer Diagnosis
Classifying Objects in 3D Point Clouds Using Recurrent Neural Network: A GRU LSTM Hybrid Approach
ShapeLLM: Universal 3D Object Understanding for Embodied Interaction
Automated Classification of Body MRI Sequence Type Using Convolutional Neural Networks
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