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Zhu Han, Jin Yang, Lianru Gao, Zhiqiang Zeng, Bing Zhang, Jocelyn Chanussot. Subpixel Spectral Variability Network for Hyperspectral Image Classification, IEEE TGRS, 2025
High-Resolution Image Synthesis with Latent Diffusion Models
Stable Diffusion web UI
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
High-Resolution Image Synthesis with Latent Diffusion Models
End-to-End Object Detection with Transformers
End-to-End Object Detection with Fully Convolutional Network
YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]
Zhu Han, Jin Yang, Lianru Gao, Zhiqiang Zeng, Bing Zhang, Jocelyn Chanussot. Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification, IEEE TGRS, 2024
[NeurIPS 2024 spotlight] Offical implementation of MSFA and release of SARDet_100K dataset for Large-Scale Synthetic Aperture Radar (SAR) Object Detection
[IEEE TGRS 2024] ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model
This is the pytorch implement of the paper "RSMamba: Remote Sensing Image Classification with State Space Model"
Spatio-temporal multi-level attention crop mapping method using time-series SAR imagery, ISPRS Journal of Photogrammetry and Remote Sensing
Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
A collection of Gradient-Based Meta-Learning Algorithms with pytorch
PyTorch implementation of OpenAI's REPTILE Algorithm
A PyTorch implementation of OpenAI's REPTILE algorithm
A PyTorch implementation of Model Agnostic Meta-Learning (MAML) that faithfully reproduces the results from the original paper.
An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta
MAML and Reptile sine wave regression example in PyTorch
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
A PyTorch Library for Meta-learning Research