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eye-in-the-sky

Satellite Image Classification using semantic segmentation methods in deep learning

fabric

Urban change model designed to identify changes across 2 timestamps

fccdn_pytorch

The pytorch implemention of FCCDN for change detection task

flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

focal-loss

TensorFlow implementation of focal loss

focal-loss-keras

Binary and Categorical Focal loss implementation in Keras.

focal-loss-pytorch

全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函数,解决数据不平衡问题.

focalloss

Focal Loss for multi-class classification

freenet

FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification (TGRS 2020) https://ieeexplore.ieee.org/document/9007624

fully_convolutional_change_detection

gald-dgcnet

Source code and models GALD net (BMVC-2019)and Dual-Seg Net (BMVC-2019)

ganotebooks

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

group-cam

Code for paper: Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Networks

heterogeneous_cd

This repository contains the software developed for the project of Heterogeneous Change Detection in Remote Sensing Images.

high-resolution-remote-sensing-semantic-segmentation-pytorch

PyTorch实现高分遥感语义分割（地物分类）

hsi-traditional-to-deep-models

Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.

hypertransformer

Official PyTorch implementation of CVPR'22 paper: HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening

iaug_cdnet

Official Pytorch Implementation of Adversarial Instance Augmentation for Building Change Detection in Remote Sensing Images.

icnet-pytorch

ICNet implemented by pytorch, for real-time semantic segmentation on high-resolution images, mIOU=71.0 on cityscapes, single inference time is 19ms, FPS is 52.6.

image-segmentation-loss-functions

some loss functions of image segmentation

image_segmentation

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

keras-attention-mechanism

Attention mechanism Implementation for Keras.

keras-grad-cam

An implementation of Grad-CAM with keras

keras-squeeze-excite-network

Implementation of Squeeze and Excitation Networks in Keras

keras-transformer

Keras library for building (Universal) Transformers, facilitating BERT and GPT models

keras-unet-collection

The Tensorflow, Keras implementation of U-net, V-net, U-net++, R2U-net, Attention U-net, ResUnet-a, U^2-Net, and UNET 3+ with optional ImageNet-trained backbones.

lamboisenet

Master thesis about change detection in satellite imagery using Deep Learning

landsat-extract-gee

Get Landsat surface reflectance time-series from google earth engine

lawin

A mmseg-style demo code of Lawin(large window) Transformer https://arxiv.org/abs/2201.01615. The complete project will be available soon.

lightweight-segmentation

Lightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).