3D Shape Classification

23 papers with code • 1 benchmarks • 1 datasets

Image: Sun et al


Most implemented papers

Deep Learning for 3D Point Clouds: A Survey

QingyongHu/SoTA-Point-Cloud 27 Dec 2019

To stimulate future research, this paper presents a comprehensive review of recent progress in deep learning methods for point clouds.

Generating 3D Adversarial Point Clouds

xiangchong1/3d-adv-pc CVPR 2019

Deep neural networks are known to be vulnerable to adversarial examples which are carefully crafted instances to cause the models to make wrong predictions.

MeshNet: Mesh Neural Network for 3D Shape Representation

iMoonLab/MeshNet 28 Nov 2018

However, there is little effort on using mesh data in recent years, due to the complexity and irregularity of mesh data.

Convolutional Neural Networks on non-uniform geometrical signals using Euclidean spectral transformation

maxjiang93/DDSL ICLR 2019

It has been challenging to analyze signals with mixed topologies (for example, point cloud with surface mesh).

Learning Equivariant Representations

daniilidis-group/spherical-cnn 4 Dec 2020

In this thesis, we extend equivariance to other kinds of transformations, such as rotation and scaling.

Triplet-Center Loss for Multi-View 3D Object Retrieval

popcornell/keras-triplet-center-loss CVPR 2018

Most existing 3D object recognition algorithms focus on leveraging the strong discriminative power of deep learning models with softmax loss for the classification of 3D data, while learning discriminative features with deep metric learning for 3D object retrieval is more or less neglected.

Deep Learning for Hand Gesture Recognition on Skeletal Data

guillaumephd/deep_learning_hand_gesture_recognition IEEE FG 2018 2018

In this paper, we introduce a new 3D hand gesture recognition approach based on a deep learning model.

Cross-Domain 3D Equivariant Image Embeddings

machc/spherical_embeddings 6 Dec 2018

This embedding encodes images with 3D shape properties and is equivariant to 3D rotations of the observed object.