NVlabs/SegFormer

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

[CAAI AIR'24] Bilateral Reference for High-Resolution Dichotomous Image Segmentation

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

ResNeSt: Split-Attention Networks

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 for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".