liuli33 / CMLPL
Contrastive-Mutual-Learning-with-Pseudo-Label-Smoothing-for-Hyperspectral-Image-Classification
☆10Updated 5 months ago
Related projects ⓘ
Alternatives and complementary repositories for CMLPL
- Locally Linear Unbiased Randomization Network for Cross-Scene Hyperspectral Image Classification☆8Updated 11 months ago
- ☆13Updated last year
- Spectral-Spatial MLP Network with Reciprocal Points learning for Open-Set Hyperspectral Image Classification☆11Updated last year
- BS2T: Bottleneck Spatial–Spectral Transformer for Hyperspectral Image Classification.☆15Updated last year
- The code for the DHViT☆11Updated 2 years ago
- Semi-Supervised Graph Prototypical Networks for Hyperspectral Image Classification, IGARSS, 2021.☆16Updated 2 years ago
- Code for FDGNet: Frequency Disentanglement and Data Geometry for Domain Generalization in Cross-Scene Hyperspectral Image Classification.…☆37Updated 3 months ago
- Supervised Contrastive Learning-Based Unsupervised Domain Adaptation for Hyperspectral Image Classification☆20Updated 7 months ago
- Q. Liu, L. Xiao, N. Huang and J. Tang, "Composite Neighbor-Aware Convolutional Metric Networks for Hyperspectral Image Classification," i…☆13Updated last year
- Triple Contrastive Representation Learning for Hyperspectral Image Classification with Noisy Labels, IEEE TGRS, 2023.☆17Updated last year
- A DEMO for "Multistage Relation Network With Dual-Metric for Few-Shot Hyperspectral Image Classification" (Zeng et al., TGRS, 2023)☆16Updated 7 months ago
- [TNNLS 2023] The official repo for the paper "Spectral-Spatial Global Graph Reasoning for Hyperspectral Image Classification".☆13Updated last month
- G. Zhao, Q. Ye, L. Sun, Z. Wu, C. Pan, and B. Jeon. "Joint Classification of Hyperspectral and LiDAR Data Using a Hierarchical CNN and Tr…☆25Updated last year
- Official Pytorch implementation of the TGRS paper "MAGE: Multisource Attention Network with Discriminative Graph and Informative Entities…☆16Updated 2 years ago
- A DEMO for "DSR-GCN: Differentiated-Scale Restricted Graph Convolutional Network for Few-Shot Hyperspectral Image Classification" (Xue et…☆11Updated 5 months ago
- Deep Few-Shot Learning for Hyperspectral Image Classification☆29Updated 2 years ago
- A PyTorch implementation of paper: Hyperspectral Image Classification Based on 3-D Octave Convolution With Spatial–Spectral Attention Net…☆15Updated 2 years ago
- A DEMO for "S3Net: Spectral-Spatial Siamese Network for Few-Shot Hyperspectral Image Classification" (Xue et al., TGRS, 2022)☆38Updated 7 months ago
- CACFTNet: A Hybrid Cov-Attention and Cross-Layer Fusion Transformer Network for Hyperspectral Image Classification[J]," in IEEE Transacti…☆11Updated 3 months ago
- Unsupervised Meta Learning With Multiview Constraints for Hyperspectral Image Small Sample set Classification☆18Updated 2 years ago
- A Dual Multi-head Contextual Attention Network for Hyperspectral Image Classification☆13Updated 2 years ago
- Code (Pytorch) of "Convolution Transformer Mixer for Hyperspectral Image Classification" GRSL-09/2022 Accepted.☆20Updated 2 years ago
- [TGRS 2023] Official implementation for 'Adaptive Mask Sampling and Manifold to Euclidean Subspace Learning with Distance Covariance Repr…☆23Updated 8 months ago
- Graph Information Aggregation Cross-domain Few-shot Learning for Hyperspectral Image Classification. IEEE TNNLS, 2022.☆43Updated last year
- The repository contains the implementations for Global-local Transformer Network for HSI and LiDAR Data Joint Classification.☆14Updated last year
- Dual Channel Residual Network for Hyperspectral Image Classification with Noisy Labels☆26Updated 8 months ago
- Code for the paper 'Spectral–Spatial Masked Transformer With Supervised and Contrastive Learning for Hyperspectral Image Classification'.☆28Updated last week
- code for paper "(TGRS 2019) Hyperspectral Classification Based on Lightweight 3D-CNN with Transfer Learning"☆17Updated 3 years ago
- t-Distributed Stochastic Neighbor Embedding applyed on the hyperspectral dataset and the generated feature maps.☆10Updated 2 years ago
- Code for Cross-domain Few-shot Learning Based on Feature Disentanglement for Hyperspectral Image Classification.☆28Updated 3 months ago