OpenMMLab Semantic Segmentation Toolbox and Benchmark.

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

HPatches: Homography-patches dataset.

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Official PyTorch implementation of SegFormer

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

Official implementation of PVT series

A map representation based on 3D segments