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

TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation, CVPR2022

End-to-End Object Detection with Transformers

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

A simple HTML visualization tool for computer vision research 🛠️

📝 Easily create a beautiful website using Academic, Hugo, and Netlify

Open MMLab Detection Toolbox with PyTorch

U-Net implemented by Caffe Deep Learning framework

Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.

OCNet achieves the state-of-the-art scene parsing performance on both Cityscapes and ADE20K.

PyTorch Deep Texture Encoding Network

A complete computer science study plan to become a software engineer.

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

Extension package for spatial propagation network in pytorch.

In-Place Activated BatchNorm for Memory-Optimized Training of DNNs

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.