3D Classification
34 papers with code • 0 benchmarks • 11 datasets
Benchmarks
These leaderboards are used to track progress in 3D Classification
Libraries
Use these libraries to find 3D Classification models and implementationsDatasets
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ShapeNetCore
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ModelNet40-C
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RAD-ChestCT Dataset
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Teeth3DS
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ADHD-200
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Calcium imaging of glomeruli in the olfactory bulb of the mouse in response to thirty-five monomolecular odors
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CVB
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3D-Point Cloud dataset of various geometrical terrains
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Corn Seeds Dataset
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VIDIMU: Multimodal video and IMU kinematic dataset on daily life activities using affordable devices
Latest papers
SimpleView++: Neighborhood Views for Point Cloud Classification
VimsLab/SimpleViewPlusPlus
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IEEE 5th International Conference on Multimedia Information Processing and Retrieval (MIPR) 2022
Among these methods, the Simple View model demonstrates that features from six orthogonal perspective projections of a point cloud achieved comparable 3D classification.
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
In this work, we revisit the classical PointNet++ through a systematic study of model training and scaling strategies, and offer two major contributions.
APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud Classification
mcg-nju/app-net
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In the existing work, each point in the cloud may inevitably be selected as the neighbors of multiple aggregation centers, as all centers will gather neighbor features from the whole point cloud independently.
M3T: Three-Dimensional Medical Image Classifier Using Multi-Plane and Multi-Slice Transformer
KVishnuVardhanR/M3T
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CVPR 2022
The proposed network synergically combines 3D CNN, 2D CNN, and Transformer for accurate AD classification.
Dynamics-aware Adversarial Attack of 3D Sparse Convolution Network
AnTao97/LGM
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It results in a serious issue of lagged gradient, making the learned attack at the current step ineffective due to the architecture changes afterward.
Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding
ajhamdi/mvtorch
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To this end, we introduce the concept of the multi-view point cloud (Voint cloud), representing each 3D point as a set of features extracted from several view-points.
Deep Learning Based Automated COVID-19 Classification from Computed Tomography Images
IDU-CVLab/COV19D
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Secondly, the original dataset was processed via anatomy-relevant masking of slice, removing none-representative slices from the CT volume, and hyperparameters tuning.
Multimodal Semi-Supervised Learning for 3D Objects
This paper explores how the coherence of different modelities of 3D data (e. g. point cloud, image, and mesh) can be used to improve data efficiency for both 3D classification and retrieval tasks.
Dynamic Local Geometry Capture in 3D PointCloud Classification
VimsLab/DynamicScale
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IEEE 4th International Conference on Multimedia Information Processing and Retrieval (MIPR) 2021
We propose a novel technique of dynamically oriented and scaled ellipsoid based on unique local information to capture the local geometry better.
Learning Inner-Group Relations on Point Clouds
We further verify the expandability of RPNet, in terms of both depth and width, on the tasks of classification and segmentation.
