Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
[Preprint] Escaping the Big Data Paradigm with Compact Transformers, 2021
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021
A PyTorch implementation of Parameter-sharing Capsule Network based on the paper "Evaluating Generalization Ability of Convolutional Neural Networks and Capsule Networks for Image Classification via Top-2 Classification"
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
A collection of image segmentation algorithms based on diffusion methods
