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Official repo for "Foundation Models for Remote Sensing and Earth Observation: A Survey"
The official pytorch implementation of "CSAKD: Knowledge Distillation with Cross Self-Attention for Hyperspectral and Multispectral Image Fusion". Submitted to IEEE Transaction on Image Processing …
Official PyTorch implementation of ResFormer: Scaling ViTs with Multi-Resolution Training, CVPR2023
HRViT ("Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation"), CVPR 2022.
Danfeng Hong, Bing Zhang, Hao Li, Yuxuan Li, Jing Yao, Chenyu Li, Martin Werner, Jocelyn Chanussot, Alexander Zipf, Xiao Xiang Zhu. Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset…
The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)
Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc
Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"
Open source datasets for Cross-Scene Hyperspectral Image Classification, continuously updated~
Single-source Domain Expansion Network for Cross-Scene Hyperspectral Image Classification, IEEE TIP, 2023.
Unsupervised Meta Learning With Multiview Constraints for Hyperspectral Image Small Sample set Classification
Deep Few-Shot Learning for Hyperspectral Image Classification
Deep Relation Network for Hyperspectral Image Few-Shot Classification
Few-shot Learning with Class-Covariance Metric for Hyperspectral Image Classification, TIP, 2022
Graph Information Aggregation Cross-domain Few-shot Learning for Hyperspectral Image Classification. IEEE TNNLS, 2022.
L. Sun, G. Zhao, Y. Zheng, and Z. Wu. "Spectral–Spatial Feature Tokenization Transformer for Hyperspectral Image Classification," in IEEE TGRS, 2022.
Danfeng Hong, Zhu Han, Jing Yao, Lianru Gao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Spectralformer: Rethinking hyperspectral image classification with transformers, IEEE Transactions on Geos…
Weighted Feature Fusion of Convolutional Neural Network and Graph Attention Network for Hyperspectral Image Classification
Self-Supervised Dataset Distillation for Transfer Learning
A curated list of awesome papers on dataset distillation and related applications.
[RSE 2022] Cross-sensor domain adaptation for high-spatial resolution urban land-cover mapping: from airborne to spaceborne imagery
SRM segmentation in python image processing
Source code for ``Deep Learning-Based Classification of Hyperspectral Data'' published at JSTAR
This Toolbox includes Hyperspectral Feature Extraction Techniques including Unsupervised, Supervised, and Deep Feature Extraction
MUUFL Gulfport Hyperspectral and LIDAR Data: This data set includes HSI and LIDAR data, Scoring Code, Photographs of Scene, Description of Data