purbayankar/Zero-Shot-Super-Resolution

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Created almost 4 years ago
Updated almost 4 years ago

purbayankar/Zero-Shot-Super-Resolution

purbayankar

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A PyTorch implementation of Zero Shot Super Resolution using Residual Feature Fusion classifier and ECA module

Hyperspectral-Vision-Transformer

A PyTorch implementation of CNN+Vision Transformer for hyperspectral image classification

Jupyter Notebook

HybridSN-pytorch

A pytorch based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".

FeatureFusionUNet

Various UNet models for satellite images change detection using OSCD dataset

Jupyter Notebook

DeepDeconvResUNet

Landslide segmentation using Deep Deconvolutional Residual UNet

Jupyter Notebook

Advanced_GAIN

Generative Adversarial Network for missing data imputation

Jupyter Notebook

YouCure

YouCure: Your healthcare assistant

Transformer_f-CLSWGAN

Advanced Feature Generating Networks for Zero-Shot Learning with Axial Attention transformer

Jupyter Notebook

HetConv3DNet

Official PyTorch implementation of Lightweight Heterogeneous Kernel Convolution forHyperspectral Image Classification with Noisy Labels

Multi-Kernel-Rotated-Conv-Deconv-Feature-Fusion-SSRN3d

Advanced version of 3D Spectral Spatial Residual Network for hyperspectral image classification

Jupyter Notebook