Second-Order Pooling for Graph Neural Networks

Second-Order Pooling for Graph Neural Networks

Repository for benchmarking graph neural networks

Pytorch framework for doing deep learning on point clouds.

PyTorch implementation of RandLA-Net

Guarantee the reproductivity of your deep learning algorithm implemented by Pytorch

PyTorch implementation of Contrastive Learning methods

PyTorch implementation of Pointnet2/Pointnet++

DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)

PyTorch implementation of "SlowFast Networks for Video Recognition".

PyTorch implementation of the R2Plus1D convolution based ResNet architecture described in the paper "A Closer Look at Spatiotemporal Convolutions for Action Recognition"

Implementation SiamRPN on PyTorch with GOT-10k dataset

A minimal example (SiamFC in PyTorch) showing how to train and evaluate trackers using GOT-10k toolkit.

Official Python toolkit for generic object tracking benchmark GOT-10k and beyond

[Survey@Pattern Recognition] Paper list on Pedestrian Attribute Recognition (PAR) and related tasks (Pattern Recognition 2021)

Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)

SO-Net: Self-Organizing Network for Point Cloud Analysis, CVPR2018

Python implementation of Binary Search Tree, kd-tree for tree building, kNN search, fixed-radius search.

A list of papers and datasets about point cloud analysis (processing)

a pytorch code about Residual Attention Network. This code is based on two projects from

Implementation of Siamese Networks for image one-shot learning by PyTorch, train and test model on dataset Omniglot

Implementation of Siamese Neural Networks for One-shot Image Recognition

Implementation of Siamese Neural Networks for One-shot Image Recognition

🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)

A faster pytorch implementation of faster r-cnn

Classification with PyTorch.