Jerry Leo's Projects
Artificial Intelligence
the implemention of APNet and APDet for hyperspectral moldy peanut identification
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
BS-Nets: An End-to-End Framework for Band Selection of Hyperspectral Image
Hyperspectral Band Selection Based on Deep Convolutional Neural Network and Distance Density
竞争性自适应重加权采样法(competitive adapative reweighted sampling, CARS)python代码
CenterMask2 on top of detectron2, in CVPR 2020
Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network
Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400
Mask-RCNN baseline for the crowdAI Mapping Challenge
Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet
使用deeplab_v3模型对遥感图像进行分割
reimpliment of DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation
用CNN计算图像相似度Computes features for images using various pretrained Tensorflow models
A project built to train a model which can recognize pictures of dogs and cats, and make a classification.
FSS-1000, A 1000-class Dataset For Few-shot Segmentation
some demo of GANs
Efficient Graph Convolutional Self-Representation for Band Selection of Hyperspectral Image
城市场景分割 HANet (CVPR 2020)
论文代码Hyperspectral Band Selection Using Attention-based Convolutional Neural Networks
A list of hyperspectral image denoising resources collected by Yongsen Zhao and Junjun Jiang.
高光谱数据预处理方法python代码
计算图片之间的相似度
Keras implementations of Generative Adversarial Networks.