Kingdrone

LoveDA. [NeurIPS 2021] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

Rank1-Ali-Tianchi-Real-World-Image-Forgery-Localization-Challenge. 2022阿里天池真实场景篡改图像检测挑战赛-冠军方案（1/1149）

EarthVQA. [AAAI 2024] EarthVQA: Towards Queryable Earth via Relational Reasoning-Based Remote Sensing Visual Question Answering

DisasterM3. [NeurIPS 2025] DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response

FactSeg. [TGRS 2021] FactSeg: Foreground Activation Driven Small Object Semantic Segmentation in Large-Scale Remote Sensing Imagery

LoveCS. [RSE 2022] Cross-sensor domain adaptation for high-spatial resolution urban land-cover mapping: from airborne to spaceborne imagery

EarthVL. EarthVL: A Progressive Earth Vision-Language Understanding and Generation Framework

LoveNAS. [ISPRS 2024] LoveNAS: Towards Multi-Scene Land-Cover Mapping via Hierarchical Searching Adaptive Network

CapFormer. [IGARSS 2022] CapFormer: Pure transformer for remote sensing image caption

resources. My resources

GeoFM_DisasterM3. DisasterM3 solution for 'Reaching new heights with GeoFM'

BoVW. Summer Homework

mmsegmentation. OpenMMLab Semantic Segmentation Toolbox and Benchmark.

local-relational-nets. A Pytorch implementation for the paper Local Relational Networks for Image Recognition (https://arxiv.org/pdf/1904.11491.pdf)

LovaszSoftmax. Code for the Lovász-Softmax loss (CVPR 2018)

homepage. http://junjuewang.top/