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PyTorch Tutorial for Deep Learning Researchers
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
收录及复现的高光谱遥感图像分类模型
2025年全网最全即插即用模块，免费分享！CVPR2025，AAAI2025，ICLR2025，TNNLS2025，arXiv2025......包含人工智能全领域（机器学习、深度学习等），适用于图像分类、目标检测、实例分割、语义分割、全景分割、姿态识别、医学图像分割、视频目标分割、图像抠图、图像编辑、单目标跟踪、多目标跟踪、行人重识别、RGBT、图像去噪、去雨、去雾、去阴影、去模糊、超分辨…
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…
Implementation of Hang et al. 2020 "Hyperspectral Image Classification with Attention Aided CNNs" for tree species prediction
PyTorch Implementation of SSTNs for hyperspectral image classifications from the IEEE T-GRS paper "Spectral-Spatial Transformer Network for Hyperspectral Image Classification: A FAS Framework."
L. Sun, G. Zhao, Y. Zheng, and Z. Wu. "Spectral–Spatial Feature Tokenization Transformer for Hyperspectral Image Classification," in IEEE TGRS, 2022.
[CVPR 2024] SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design
Keras implementation of Generative Adversarial Minority Oversampling for Spectral-Spatial Hyperspectral Image Classification
Hyperspectral Image Classification Using Group-Aware Hierarchical Transformer
Code repository for Scheibenreif, L., Mommert, M., & Borth, D. (2023). Masked Vision Transformers for Hyperspectral Image Classification, In CVPRW EarthVision 2023
[Neural Networks 2025] Dual Selective Fusion Transformer Network for Hyperspectral Image Classification
[ICCV 2023]The PyTorch implementation of TL-Align: Token-Label Alignment for Vision Transformers.
[IEEE T-GRS 2024] The official repository for Journal Article “FactoFormer: Factorized Hyperspectral Transformers with Self-Supervised Pre-Training”, Accepted to IEEE Transactions on Geoscience and…
paper:Spectral–Spatial Unified Networks for Hyperspectral Image Classification
The repository contains the implementation of the paper "SwinMSP: A Shifted Windows Masked Spectral Pretraining Model for Hyperspectral Image Classification"