zerojiang

MDL4OW

S. Liu, Q. Shi and L. Zhang, "Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2020.3018879.

mmocr

OpenMMLab Text Detection, Recognition and Understanding Toolbox

A2S2K-ResNet

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

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

Class-balanced-loss-pytorch

Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

classification_models

Classification models trained on ImageNet. Keras.

conv-emotion

This repo contains implementation of different architectures for emotion recognition in conversations

ConvLSTM_pytorch

Implementation of Convolutional LSTM in PyTorch.

Convolutional_LSTM_PyTorch

Multi-layer convolutional LSTM with Pytorch

cqupt-mirrors-howto

重邮开源镜像使用帮助文档

DCRN-2021

Dual Channel Residual Network for Hyperspectral Image Classification with Noisy Labels

Deep-Learning-with-TensorFlow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

Dummy-Robot

我的超迷你机械臂机器人项目。

HSI-datasets

Hyperspectral Remote Sensing Scenes

HybridSN

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

HyFTech-Hyperspectral-Shallow-Deep-Feature-Extraction-Toolbox

This Toolbox includes Hyperspectral Feature Extraction Techniques including Unsupervised, Supervised, and Deep Feature Extraction

hyperspectral_deeplearning_review

Code of paper "Deep Learning Classifiers for Hyperspectral Imaging: A Review"

keras-applications

Reference implementations of popular deep learning models.

Keras-GAN

Keras implementations of Generative Adversarial Networks.

Pedestrain-Detection--Faster-RCNN

Keras implementation of Pedestrian detection and classification using Faster RCNN model.

polar-transformer-networks

Demo source code for the paper "Esteves, C., Allen-Blanchette, C., Zhou, X. and Daniilidis, K, "Polar Transformer Networks", ICLR 2018.

pytorch-loss

label-smooth, amsoftmax, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

pytorch-ssim

pytorch structural similarity (SSIM) loss

scene_attribute_MP

SimpleCVReproduction

Reproduce simple cv project including attention module, classification, object detection, segmentation, keypoint detection, tracking :smile: etc.

SpecTr

SSUN

Spectral-Spatial Unified Networks for Hyperspectral Image Classification

triplet-loss-pytorch

A generic triplet data loader for image classification problems,and a triplet loss net demo.