🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Boosting Image Matting with Pretrained Plain Vision Transformers

Official PyTorch implementation of Revisiting Image Pyramid Structure for High Resolution Salient Object Detection (ACCV 2022)

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.

An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"

Datasets, Transforms and Models specific to Computer Vision

Segmentation models with pretrained backbones. PyTorch.

DeepLabv3 and DeepLabv3+ with pretrained weights for Pascal VOC & Cityscapes

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

[CVPR 2021] Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision

Official repo for SemanticGAN https://nv-tlabs.github.io/semanticGAN/

A gorgeous responsive theme for Hugo blog framework

Supporting code to the paper "Conditional GANs for Multi-Illuminant Color Constancy: Revolution or Yet Another Approach?"