medical-11

3D Classification

3260 papers • 126 benchmarks • 313 datasets

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Benchmarks

These leaderboards are used to track progress in 3d-classification-22

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Libraries

i

Use these libraries to find 3d-classification-22 models and implementations

ajhamdi/mvtorch

3 papers 78

Datasets

Calcium imaging of glomeruli in the olfactory bulb of the mouse in response to thirty-five monomolecular odors

Subtasks

3D Object Classification

Most implemented papers

Learning SO(3) Equivariant Representations with Spherical CNNs

Kostas Daniilidis, A. Makadia, Carlos Esteves, Christine Allen-Blanchette•Thu Nov 16 2017

It is shown that networks with much lower capacity and without requiring data augmentation can exhibit performance comparable to the state of the art in standard 3D shape retrieval and classification benchmarks.

556

Content

CVB

3D-Point Cloud dataset of various geometrical terrains

Corn Seeds Dataset

VIDIMU: Multimodal video and IMU kinematic dataset on daily life activities using affordable devices

0

Paper Graph

PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

Bernard Ghanem, Houwen Peng, Mohamed Elhoseiny, Guocheng Qian, Jinjie Mai, Hasan Hammoud•Wed Jun 08 2022

This work revisits the classical PointNet++ through a systematic study of model training and scaling strategies, and proposes PointNeXt, the next version of PointNets, which can be flexibly scaled up and outperforms state-of-the-art methods on both 3D classification and segmentation tasks.

927 0

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Pointhop++: A Lightweight Learning Model on Point Sets for 3D Classification

C.-C. Jay Kuo, Shan Liu, Pranav Kadam, Min Zhang•Sat Feb 08 2020

The PointHop++ method is improved in two aspects: reducing its model complexity in terms of the model parameter number and ordering discriminant features automatically based on the cross-entropy criterion, which is essential for wearable and mobile computing.

44 0

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MVTN: Multi-View Transformation Network for 3D Shape Recognition

Bernard Ghanem, Silvio Giancola, Abdullah Hamdi, Bing Li, Ali K. Thabet•Wed Nov 25 2020

The Multi-View Transformation Network (MVTN) is introduced that regresses optimal view-points for 3D shape recognition, building upon advances in differentiable rendering and can provide network robustness against rotation and occlusion in the 3D domain.

269 0

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Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding

Bernard Ghanem, Silvio Giancola, Abdullah Hamdi•Mon Nov 29 2021

This work introduces the concept of the multi-view point cloud (Voint cloud), representing each 3D point as a set of features extracted from several view-points, and deploys a Voint neural network to learn representations in the Voint space.

30 0

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PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning

Shanghang Zhang, Renrui Zhang, Ziyu Guo, Peng Gao, Zipeng Qin, Xiangyang Zhu, Bowei He, Ziyao Zeng•Sun Nov 20 2022

This paper first collaborate CLIP and GPT to be a unified 3D open-world learner, named as Point-CLIP V2, which fully unleashes their potential for zero-shot 3D classification, segmentation, and detection, demonstrating the generalization ability for unified 3D open-world learning.

224 0

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Robustifying Point Cloud Networks by Refocusing

Meir Yossef Levi, Guy Gilboa•Wed Aug 09 2023

This study develops a general mechanism to increase point clouds neural networks robustness based on focus analysis and proposes a parameter-free refocusing algorithm that aims to unify all corruptions under the same distribution.

5 0

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Enhancing Learnability of classification algorithms using simple data preprocessing in fMRI scans of Alzheimer's disease

R. Garg, R. Janghel, Y. Rathore•Mon Dec 09 2019

Some novel preprocessing techniques are proposed that have significantly increased the accuracy and at the same time decreased the training time of various classification algorithms for Alzheimer's Disease.

5 0

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