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mmyolo

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

mtcnet

multi-level-transunet-for-space-based-infrared-tiny-ship-detection

nncnet

Nearest Neighbor-Based Contrastive Learning for Hyperspectral and LiDAR Data Classification, IEEE TGRS 2023

ocnn

Object-based CNN

open-aff

code and trained models for "Attentional Feature Fusion"

prors_docs

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-fcn

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

pytorch-grad-cam

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

random_forest_landuse_landcover_classification-

Object-based Image Analysis (OBIA)

remote-sensing-rvsa

The official repo for [TGRS'22] "Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model"

rotation-retinanet-pytorch

A Rotation RetinaNet Pytorch Implementation on HRSC and SSDD Dataset.

rsp

The official repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining"

rsprompter

This is the pytorch implement of our paper "RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model"

samrs

The official repo for [NeurIPS'23] "SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model"

saras-net

self-pair-for-change-detection

Self-Pair: Synthesizing Changes from Single Source for Object Change Detection in Remote Sensing Imagery (official)

servlet-jar

spatio-temporal-phenological-segmentation

Spatio-Temporal Vegetation Segmentation By Using Convolutional Networks

stnet

Code for JAG 2022 paper "Urban informal settlements classification via a transformer-based spatial-temporal fusion network using multimodal remote sensing and time-series human activity data"

superfusion

This is official Pytorch implementation of "SuperFusion: A Versatile Image Registration and Fusion Network with Semantic Awareness"

superyolo

SuperYOLO

t2t-vit

ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

techniques

Techniques for deep learning with satellite & aerial imagery

three-dimensional-convolutional-neural-network-model-for-tree-species-classification-using-airborne-

Three-dimensional convolutional neural network model for tree species classification using airborne hyperspectral images

tkds-ptnet

tree-detection-evo

Code repository for the paper Tree species classification from airborne hyperspectral and LiDAR data using 3D convolutional neural networks

utnet

Official implementation of UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation

uv-sam

UV-SAM