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mmselfsup

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

mobile-deeplab-v3-plus

Deeplab-V3+ model with MobilenetV2/MobilenetV3 on TensorFlow for mobile deployment.

models

Models and examples built with TensorFlow

nvidia-docker

Build and run Docker containers leveraging NVIDIA GPUs

openseg.pytorch

The official Pytorch implementation of OCNet series and SegFix.

paddleseg

End-to-end image segmentation kit based on PaddlePaddle.

panoptic-deeplab

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

pfsegnets

PointFlow (CVPR-2021)

pix2pix-tensorflow

TensorFlow implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".

pix2pix-tensorflow-1

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

python

All Algorithms implemented in Python

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

refinenet_pytorch

Pytorch implementation of refinenet network

robosat

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

sar-ship-dataset

satellite-segmentation

scattnet

Semantic Segmentation Network with Spatial and Channel Attention Mechanism for High-Resolution Remote Sensing Images

segmentation-pytorch

Semantic Segmentation in Pytorch. Network include: FCN、FCN_ResNet、SegNet、UNet、BiSeNet、BiSeNetV2、PSPNet、DeepLabv3_plus、 HRNet、DDRNet

self-supervised-fewshot-medical-image-segmentation

[ECCV'20] Self-supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation (code&data-processing pipeline)

semantic-segmentation

Nvidia Semantic Segmentation monorepo

semantic-segmentation-on-buildings

Semantic segmentation on buildings based on the INRIA the INRIA Aerial Image Labeling Dataset using neural network

senet-tensorflow

Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)

senseearth2020-changedetection

1st place solution to the Satellite Image Change Detection Challenge hosted by SenseTime

siam-nestedunet

The pytorch implementation for "SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images"

siamese-neural-network-for-change-detection

This repository contains the python code for a Siamese neural network to detect changes in aerial images using Tensorflow.

simclr

A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"

simclr-1

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.

solo-learn

solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

sssegmentation

sssegmentation is a general framework for our research on strongly supervised semantic segmentation.