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Unsupervised Spatial-Spectral Feature Learning by 3-Dimensional Convolutional Autoencoder for Hyperspectral Classification
ASCL: adpative Soft Contrastive Learning (ICPR2022)
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
Confident Learning-Based Domain Adaptation for Hyperspectral Image Classification(DOI: 10.1109/TGRS.2022.3166817)
Deep Cross-domain Few-shot Learning for Hyperspectral Image Classification
Deep Multiview Learning for Hyperspectral Image Classification
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L. Sun, G. Zhao, Y. Zheng, and Z. Wu. "Spectral–Spatial Feature Tokenization Transformer for Hyperspectral Image Classification," in IEEE TGRS, 2022.
收录及复现的高光谱遥感图像分类模型
《利用Python进行数据分析·第2版》
📸 Self supervised learning techniques for image classification based on mask prediction. Implementation of Vision-Transformer
PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057
《Pytorch模型训练实用教程》中配套代码
Deep Relation Network for Hyperspectral Image Few-Shot Classification
Residual Spectral–Spatial Attention Network for Hyperspectral Image Classification
A DEMO for "S3Net: Spectral-Spatial Siamese Network for Few-Shot Hyperspectral Image Classification" (Xue et al., TGRS, 2022)
Implementation of SC-EADNet on TGRS 2022.
SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy
Applied Self Supervised Learning techniques such as Jigsaw as pretext task, SRGAN and SimCLR for fine-grained classification
Multi label classification of remote images using self supervised representation
A DEMO for “Local Transformer With Spatial Partition Restore for Hyperspectral Image Classification (Xue et al., JSTARS, 2022)”
Code for the paper 'Spectral–Spatial Masked Transformer With Supervised and Contrastive Learning for Hyperspectral Image Classification'.
Code for our paper Self-supervised Learning for Sonar Image Classification [CVPR 2022]
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