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3d-anas

code for paper "3D-ANAS: 3D Asymmetric Neural ArchitectureSearch for Fast Hyperspectral Image Classification"

3d-densenet-for-hsi

paper：Three-dimensional densely connected convolutional network for hyperspectral remote sensing image classification

3d-hypergamo

3d-se-densenet-for-hsi

paper：Hyperspectral remote sensing image classification using three-dimensional-squeeze-and-excitation-DenseNet (3D-SE-DenseNet)

3dcae-hyperspectral-classification

Unsupervised Spatial-Spectral Feature Learning by 3-Dimensional Convolutional Autoencoder for Hyperspectral Classification

a-hybrid-network-with-structural-constraints-for-sar-image-scene-classification

a-spn-release

An attention-based second-order pooling network DEMO for hyperspectral image classification.

a2s2k-resnet

A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification

addernet

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

afnet

The code of Adaptive Fusion Network for Remote Sensing Image Semantic Segmentation.

algorithms

Minimal examples of data structures and algorithms in Python

assmn

The code implementation of our paper "Adaptive Spectral-Spatial Multiscale Contextual Feature Extraction for Hyperspectral Image Classification" (IEEE TGRS, 2020).

attention-based-bidirectional-lstm-network

attentivenas

code for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"

awesomecv

记录state-of-art计算机视觉相关论文。

awsome-visual-mlps

Collect some MLPs with Computer-Vision (CV) papers. If you find some ignored papers, please open issues or pull requests.

balancedgroupsoftmax

CVPR 2020 oral paper: Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax.

bsconv

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

cacnn

Deep Collaborative Attention Network for Hyperspectral Image Classification by Combining 2-D CNN and 3-D CNN, JSTARS, 2020

capsnet-hsi

carrier-of-tricks-for-classification-pytorch

carrier of tricks for image classification tutorials using pytorch.

cbw

Compact Band Weighting Module Based on Attention-Driven for Hyperspectral Image Classification

ccnet

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

classifying-different-crop-categories-using-hyperspectral

Nowdays Hyperspectral data are more widely used for crop classification, we are trying to use Deep Learning to for the task of segmentation of Hyperspectral Satellite images to segment different Categories of crops. Data contains 128x128 pixels images having 7 channels or spectrums for input. We used a modified version of U-net for the purpose of Classification.

cnn-hsi

cnn-mrf-v1

This is a modified version of the code for Hyperspectral image classification using CNN (Post-processing code is written in python).

cnn_enhanced_gcn

Q. Liu, L. Xiao, J. Yang and Z. Wei, "CNN-Enhanced Graph Convolutional Network With Pixel- and Superpixel-Level Feature Fusion for Hyperspectral Image Classification," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2020.3037361.

cnn_hsic_mrf

This is a TensorFlow implementation of Convolutional Neural Network for Hyperspectral Image Classification

conformer

content_guided_cnn

Content-Guided Convolutional Neural Network for Hyperspectral Image Classification